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awesome-video-generation

AlonzoLeeeoooMIT活跃维护

汇总视频生成领域的论文与资源清单，覆盖扩散模型、GAN、文本生成视频等方向，方便快速追踪研究进展。

A collection of awesome video generation studies.

暂无版本789star55fork同步于 2026-11-10 23:54 UTC
视频生成文本生成视频扩散模型生成对抗网络论文清单
对比 GitHubdiffusion-modelsgenerative-adversarial-networkspaper-listtext-to-video-generationvideo-generation

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视频生成领域论文与资源汇总清单，按任务和年份分类，方便快速查找相关工作

汇总视频生成领域的论文与资源清单，覆盖扩散模型、GAN、文本生成视频等方向，方便快速追踪研究进展。

核心能力

  • 按文生视频、图生视频、视频编辑等子任务分目录整理
  • 按年份归档论文并附 arXiv、OpenReview 等原文链接
  • 收录 Sora、Lumiere 等产品与机构信息表
  • 维护 CVPR、NeurIPS 等会议论文更新进度清单
  • 汇总数据集与综述论文入口

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    README 原文

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    This GitHub repository summarizes papers and resources related to the video generation task.

    If you have any suggestions about this repository, please feel free to start a new issue or pull requests.

    Recent news of this GitHub repo are listed as follows.

    🔥 [Dec. 11th, 2025] Our paper titled "StableV2V: Stablizing Shape Consistency in Video-to-Video Editing" is accepted at TCSVT 2025!

    🔥 [Nov. 19th] We have released our latest paper titled "StableV2V: Stablizing Shape Consistency in Video-to-Video Editing", with the correponding code, model weights, and a testing benchmark DAVIS-Edit open-sourced. Feel free to check them out from the links!

    • [2025 May 13th] Update a new sub-task named Human Image Animation. All CVPR 2025 papers and references are updated.
    • [Jun. 17th] All NeurIPS 2023 papers and references are updated.
    • [Apr. 26th] Update a new direction: Personalized Video Generation.
    • [Mar. 28th] The official AAAI 2024 paper list are released! Official version of PDFs and BibTeX references are updated accordingly.

    Contents

    To-Do Lists

    • Latest Papers
      • Update NeurIPS 2025 Papers
      • Update ICCV 2025 Papers
      • Update CVPR 2025 Papers
      • Update ICLR 2025 Papers
      • Update NeurIPS 2024 Papers
      • Update ECCV 2024 Papers
      • Update CVPR 2024 Papers
        • Update PDFs and References of ⚠️ Papers
        • Update Published Versions of References
      • Update AAAI 2024 Papers
        • Update PDFs and References of ⚠️ Papers
        • Update Published Versions of References
      • Update ICLR 2024 Papers
      • Update NeurIPS 2023 Papers
    • Previously Published Papers
      • Update Previous CVPR papers
      • Update Previous ICCV papers
      • Update Previous ECCV papers
      • Update Previous NeurIPS papers
      • Update Previous ICLR papers
      • Update Previous AAAI papers
      • Update Previous ACM MM papers
    • Regular Maintenance of Preprint arXiv Papers and Missed Papers

    <🎯Back to Top>

    Products

    NameOrganizationYearResearch PaperWebsiteSpecialties
    SoraOpenAI2024linklink-
    LumiereGoogle2024linklink-
    VideoPoetGoogle2023-link-
    W.A.I.TGoogle2023linklink-
    Gen-2Runaway2023-link-
    Gen-1Runaway2023-link-
    Animate AnyoneAlibaba2023linklink-
    Outfit AnyoneAlibaba2023-link-
    Stable VideoStabilityAI2023linklink-
    PixelingHiDream.ai2023-link-
    DomoAIDomoAI2023-link-
    EmuMeta2023linklink-
    GenmoGenmo2023-link-
    NeverEndsNeverEnds2023-link-
    MoonvalleyMoonvalley2023-link-
    Morph StudioMorph2023-link-
    PikaPika2023-link-
    PixelDanceByteDance2023linklink-
    PodframesJellypod2026-linkOpen-source topic-to-podcast video pipeline with mixed TTS voices, lip-synced avatars, captions, and b-roll.

    <🎯Back to Top>

    Papers

    Survey Papers

    • Year 2024
      • arXiv
        • Video Diffusion Models: A Survey [Paper]
    • Year 2023
      • arXiv
        • A Survey on Video Diffusion Models [Paper]

    Text-to-Video Generation

    • Year 2026
      • ICLR
        • Astraea: A Token-wise Acceleration Framework for Video Diffusion Transformers [Paper]
        • BLADE: Block-Sparse Attention Meets Step Distillation for Efficient Video Generation [Paper]
        • BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching [Paper]
        • CineTrans: Learning to Generate Videos with Cinematic Transitions via Masked Diffusion Models [Paper]
        • DSA: Efficient Inference For Video Generation Models via Distributed Sparse Attention [Paper]
        • Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation [Paper]
        • DVD-Quant: Data-free Video Diffusion Transformers Quantization [Paper]
        • Fastcar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge [Paper]
        • Flow Caching for Autoregressive Video Generation [Paper]
        • JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation [Paper]
        • JavisDiT: Joint Audio-Video Diffusion Transformer with Hierarchical Spatio-Temporal Prior Synchronization [Paper]
        • LongLive: Real-time Interactive Long Video Generation [Paper]
        • Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective [Paper]
        • Many-for-Many: Unify the Training of Multiple Video and Image Generation and Manipulation Tasks [Paper]
        • MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models [Paper]
        • Model Already Knows the Best Noise: Bayesian Active Noise Selection via Attention in Video Diffusion Model [Paper]
        • MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation [Paper]
        • Neodragon: Mobile Video Generation Using Diffusion Transformer [Paper]
        • NewtonGen: Physics-consistent and Controllable Text-to-Video Generation via Neural Newtonian Dynamics [Paper]
        • PreciseCache: Precise Feature Caching for Efficient and High-fidelity Video Generation [Paper]
        • QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification [Paper]
        • QVGen: Pushing the Limit of Quantized Video Generative Models [Paper]
        • Rolling Forcing: Autoregressive Long Video Diffusion in Real Time [Paper]
        • SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer [Paper]
        • Self-Forcing++: Towards Minute-Scale High-Quality Video Generation [Paper]
        • SteinsGate: Adding Causality to Diffusions for Long Video Generation via Path Integral [Paper]
        • Streaming Autoregressive Video Generation via Diagonal Distillation [Paper]
        • Towards One-step Causal Video Generation via Adversarial Self-Distillation [Paper]
        • TPDiff: Temporal Pyramid Video Diffusion Model [Paper]
        • TS-Attn: Temporal-wise Separable Attention for Multi-Event Video Generation [Paper]
        • TTOM: Test-Time Optimization and Memorization for Compositional Video Generation [Paper]
        • UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers [Paper]
        • Uniform Discrete Diffusion with Metric Path for Video Generation [Paper]
        • Video-GPT via Next Clip Diffusion [Paper]
        • VMoBA: Mixture-of-Block Attention for Video Diffusion Models [Paper]
        • Captain Cinema: Towards Short Movie Generation [Paper]
        • FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation [Paper]
        • EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer [Paper]
        • Video Unlearning via Low-Rank Refusal Vector [Paper]
        • ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching [Paper]
        • Plug-and-Play Fidelity Optimization for Diffusion Transformer Acceleration via Cumulative Error Minimization [Paper]
        • DiCache: Let Diffusion Model Determine Its Own Cache [Paper]
        • FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching [Paper]
        • HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-then-Forecast Diffusion Acceleration [Paper]
        • Scale-wise Distillation of Diffusion Models [Paper]
        • DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity [Paper]
        • ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion [Paper]
        • MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference [Paper]
        • Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models [Paper]
        • Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency [Paper]
        • Consistent Noisy Latent Rewards for Trajectory Preference Optimization in Diffusion Models [Paper]
        • FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference [Paper]
        • SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention [Paper]
        • EgoTwin: Dreaming Body and View in First Person [Paper]
        • Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers [Paper]
      • AAAI
        • Minute-Long Videos with Dual Parallelisms [Paper] [Project] [Code]
        • Sortblock: Similarity-Aware Feature Reuse for Diffusion Model [Paper]
        • Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers [Paper]
        • UltraGen: High-Resolution Video Generation with Hierarchical Attention [Paper]
        • GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration [Paper]
        • FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion [Paper]
        • SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation [Paper]
        • FreeMem: Enhancing Consistency in Long Video Generation via Tuning-Free Memory [Paper]
        • SwiftVideo: A Unified Framework for Few-Step Video Generation Through Trajectory-Distribution Alignment [Paper]
        • S²Flow: Towards Fast and Authentic Training-Free High-Resolution Video Generation [Paper]
        • PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling [Paper]
        • DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation [Paper]
        • ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints [Paper]
        • OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding [Paper]
        • FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation [Paper]
        • Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers [Paper]
        • Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models [Paper]
        • HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models [Paper]
    • Year 2025
      • CVPR
        • AIGV-Assessor: Benchmarking and Evaluating the Perceptual Quality of Text-to-Video Generation with LMM [Paper] [Code]
        • RAPO: The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation [Paper] [Project] [Code]
        • ByTheWay: Boost Your Text-to-Video Generation Model to Higher Quality in a Training-free Way [Paper] [Code]
        • The Devil is in the Prompts: Retrieval-Augmented Prompt Optimization for Text-to-Video Generation [Paper] [Project] [Code]
        • ConsistID: Identity-Preserving Text-to-Video Generation by Frequency Decomposition [Paper] [Code] [Project]
        • EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video Generation [Paper] [Code] [Project]
        • TransPixeler: Advancing Text-to-Video Generation with Transparency [Paper] [Project] [Code]
        • PhyT2V: LLM-Guided Iterative Self-Refinement for Physics-Grounded Text-to-Video Generation [Paper] [Code]
        • InstanceCap: Improving Text-to-Video Generation via Instance-aware Structured Caption [Paper] [Code]
        • BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations [Paper] [Project]
        • LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity [Paper] [Project]
        • ⚠️ Encapsulated Composition of Text-to-Image and Text-to-Video Models for High-Quality Video Synthesis
        • DynamicScaler: Seamless and Scalable Video Generation for Panoramic Scenes [Paper] [Project] [Code]
        • AKiRa: Augmentation Kit on Rays for Optical Video Generation [Paper]
        • Go-with-the-Flow: Motion-Controllable Video Diffusion Models Using Real-Time Warped Noise [Paper]
        • DriveScape: High-Resolution Driving Video Generation by Multi-View Feature Fusion [Paper]
        • Towards Precise Scaling Laws for Video Diffusion Transformers [Paper]
        • VideoDPO: Omni-Preference Alignment for Video Diffusion Generation [Paper] [Project] [Code]
        • Timestep Embedding Tells: It's Time to Cache for Video Diffusion Model [Paper]
        • Mask^2DiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video Generation [Paper] [Project] [Code]
        • Long Video Diffusion Generation with Segmented Cross-Attention and Content-Rich Video Data Curation [Paper] [Project] [Code]
        • LongDiff: Training-Free Long Video Generation in One Go [Paper]
        • Goku: Flow Based Video Generative Foundation Models [Paper]
        • IM-Zero: Instance-level Motion Controllable Video Generation in a Zero-shot Manner [Paper]
        • VideoGuide: Improving Video Diffusion Models without Training Through a Teacher's Guide [Paper] [Project] [Code]
        • AC3D: Analyzing and Improving 3D Camera Control in Video Diffusion Transformers [Paper] [Project] [Code]
        • Mimir: Improving Video Diffusion Models for Precise Text Understanding [Paper]
        • Optical-Flow Guided Prompt Optimization for Coherent Video Generation [Paper] [Project] [Code]
        • SnapGen-V: Generating a Five-Second Video within Five Seconds on a Mobile Device [Paper] [Project]
        • ShotAdapter: Text-to-Multi-Shot Video Generation with Diffusion Models [Paper] [Project]
        • STDD: Spatio-Temporal Dual Diffusion for Video Generation [Paper]
        • From Slow Bidirectional to Fast Autoregressive Video Diffusion Models [Paper] [Project] [Code]
        • TokenMotion: Decoupled Motion Control via Token Disentanglement for Human-centric Video Generation [Paper]
        • FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis [Paper] [Code]
        • Mind the Time: Temporally-Controlled Multi-Event Video Generation [Paper] [Project]
        • Tora: Trajectory-oriented Diffusion Transformer for Video Generation [Paper] [Code]
        • One-Minute Video Generation with Test-Time Training [Paper] [Project] [Code]
      • ICCV
        • Unified Video Generation: Unified Video Generation via Next-Set Prediction in Continuous Domain [Paper]
        • Adversarial Distribution Matching for Diffusion Distillation Towards Efficient Image and Video Synthesis [Paper]
        • REDUCIO! Generating 1K Video within 16 Seconds using Extremely Compressed Motion Latents [Paper]
        • MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control [Paper]
        • Decouple and Track: Benchmarking and Improving Video Diffusion Transformers For Motion Transfer [Paper]
        • TokensGen: Harnessing Condensed Tokens for Long Video Generation [Paper]
        • Prompt-A-Video: Prompt Your Video Diffusion Model via Preference-Aligned LLM [Paper]
        • LiON-LoRA: Rethinking LoRA Fusion to Unify Controllable Spatial and Temporal Generation for Video Diffusion [Paper]
        • DropletVideo: A Dataset and Approach to Explore Integral Spatio-Temporal Consistent Video Generation [Paper]
        • The Best of Both Worlds: Integrating Language Models and Diffusion Models for Video Generation [Paper]
        • Long Context Tuning for Video Generation [Paper]
        • Dual-Expert Consistency Model for Efficient and High-Quality Video Generation [Paper]
        • NoiseController: Towards Consistent Multi-view Video Generation via Noise Decomposition and Collaboration [Paper]
        • InstaDrive: Instance-Aware Driving World Models for Realistic and Consistent Video Generation [Paper]
        • EfficientMT: Efficient Temporal Adaptation for Motion Transfer in Text-to-Video Diffusion Models [Paper]
        • DOLLAR: Few-Step Video Generation via Distillation and Latent Reward Optimization [Paper]
        • GameFactory: Creating New Games with Generative Interactive Videos [Paper]
        • DLFR-Gen: Diffusion-based Video Generation with Dynamic Latent Frame Rate [Paper]
        • MatchDiffusion: Training-free Generation of Match-Cuts [Paper]
        • QuantCache: Adaptive Importance-Guided Quantization with Hierarchical Latent and Layer Caching for Video Generation [Paper]
        • Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation [Paper]
        • Causal-Entity Reflected Egocentric Traffic Accident Video Synthesis [Paper]
        • FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion [Paper]
        • VPO: Aligning Text-to-Video Generation Models with Prompt Optimization [Paper]
        • Video-T1: Test-time Scaling for Video Generation [Paper]
        • MotionShot: Adaptive Motion Transfer across Arbitrary Objects for Text-to-Video Generation [Paper]
        • STIV: Scalable Text and Image Conditioned Video Generation [Paper]
        • Generating, Fast and Slow: Scalable Parallel Video Generation with Video Interface Networks [Paper]
        • V.I.P.: Iterative Online Preference Distillation for Efficient Video Diffusion Models [Paper]
        • Synthetic Video Enhances Physical Fidelity in Video Synthesis [Paper]
        • Latent-Reframe: Enabling Camera Control for Video Diffusion Models without Training [Paper]
        • FullDiT: Video Generative Foundation Models with Multimodal Control via Full Attention [Paper]
        • VideoAuteur: Towards Long Narrative Video Generation [Paper]
        • Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models [Paper]
        • Turbo2K: Towards Ultra-Efficient and High-Quality 2K Video Synthesis [Paper]
        • Adaptive Caching for Faster Video Generation with Diffusion Transformers [Paper]
        • Free2Guide: Training-Free Text-to-Video Alignment using Image LVLM [Paper]
        • Progressive Growing of Video Tokenizers for Temporally Compact Latent Spaces [Paper]
        • From Prompt to Progression: Taming Video Diffusion Models for Seamless Attribute Transition [Paper]
        • Importance-Based Token Merging for Efficient Image and Video Generation [Paper]
        • TITAN-Guide: Taming Inference-Time Alignment for Guided Text-to-Video Diffusion Models [Paper]
        • Training-free and Adaptive Sparse Attention for Efficient Long Video Generation [Paper]
        • UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving [Paper]
        • CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models [Paper]
      • NeurIPS
        • Stable Cinemetrics: Structured Taxonomy and Evaluation for Professional Video Generation [Paper] [Project]
        • WISA: World simulator assistant for physics-aware text-to-video generation [Paper]
        • VORTA: Efficient Video Diffusion via Routing Sparse Attention [Paper] [Code]
        • ViewPoint: Panoramic Video Generation with Pretrained Diffusion Models [Paper]
        • Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search [Paper]
        • Radial Attention: $\mathcal{O}(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation [Paper] [Code]
        • Frame Context Packing and Drift Prevention in Next-Frame-Prediction Video Diffusion Models [Paper]
        • MagCache: Fast Video Generation with Magnitude-Aware Cache [Paper]
        • $\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation [Paper] [Code]
        • WorldWeaver: Generating Long-Horizon Video Worlds via Rich Perception [Paper]
        • Show-o2: Improved Native Unified Multimodal Models [Paper] [Code]
        • GeoVideo: Introducing Geometric Regularization into Video Generation Model [Paper]
        • Re-ttention: Ultra Sparse Visual Generation via Attention Statistical Reshape [Paper]
        • Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency [Paper]
        • Training-Free Efficient Video Generation via Dynamic Token Carving [Paper]
        • Improving Video Generation with Human Feedback [Paper]
        • FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation [Paper]
        • ASDSV: Multimodal Generation Made Efficient with Approximate Speculative Diffusion and Speculative Verification [Paper]
        • Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation [Paper] [Code]
        • VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models [Paper] [Project]
        • PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models [Paper]
        • LeMiCa: Lexicographic Minimax Path Caching for Efficient Diffusion-Based Video Generation [Paper]
        • Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation [Paper]
        • Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models [Paper]
        • FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion [Paper]
        • PanoWan: Lifting Diffusion Video Generation Models to 360$^\circ$ with Latitude/Longitude-aware Mechanisms [Paper]
        • Faster Video Diffusion with Trainable Sparse Attention [Paper] [Code]
        • VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers [Paper] [Code]
        • Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion [Paper]
        • Foresight: Adaptive Layer Reuse for Accelerated and High-Quality Text-to-Video Generation [Paper]
        • InfinityStar: Unified Spacetime AutoRegressive Modeling for Visual Generation [Paper]
        • DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models [Paper]
        • Rare Text Semantics Were Always There in Your Diffusion Transformer [Paper]
      • ICLR
        • OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation [Paper] [Project] [Code] [Dataset]
        • CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer [Paper]
        • Pyramidal Flow Matching for Efficient Video Generative Modeling [Paper] [Project] [Code]
        • ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation [Paper]
        • VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control [Paper]
        • Real-Time Video Generation with Pyramid Attention Broadcast [Paper]
        • SynCamMaster: Synchronizing Multi-Camera Video Generation from Diverse Viewpoints [Paper]
        • FreqPrior: Improving Video Diffusion Models with Frequency Filtering Gaussian Noise [Paper]
        • FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality [Paper]
        • Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation [Paper]
        • VILA-U: a Unified Foundation Model Integrating Visual Understanding and Generation [Paper]
        • T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design [Paper]
        • MotionAura: Generating High-Quality and Motion Consistent Videos using Discrete Diffusion [Paper]
        • ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation [Paper]
        • SAFREE: Training-Free and Adaptive Guard for Safe Text-to-Image And Video Generation [Paper]
        • CameraCtrl: Enabling Camera Control for Video Diffusion Models [Paper]
        • GameGen-X: Interactive Open-world Game Video Generation [Paper]
        • IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis [Paper]
        • MovieDreamer: Hierarchical Generation for Coherent Long Visual Sequences [Paper]
        • Field-DiT: Diffusion Transformer on Unified Video, 3D, and Game Field Generation [Paper]
        • Accelerating Diffusion Transformers with Token-wise Feature Caching [Paper]
        • VSTAR: Generative Temporal Nursing for Longer Dynamic Video Synthesis [Paper]
        • PT-T2I/V: An Efficient Proxy-Tokenized Diffusion Transformer for Text-to-Image/Video-Task [Paper]
      • ICML
        • VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models [Paper]
        • Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers [Paper] [Code]
        • Ca2-VDM: Efficient Autoregressive Video Diffusion Model with Causal Generation and Cache Sharing [Paper] [Code]
        • Diffusion Adversarial Post-Training for One-Step Video Generation [Paper]
        • AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration [Paper] [Code]
        • Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity [Paper] [Code]
        • Fast Video Generation with Sliding Tile Attention [Paper] [Code]
        • RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers [Paper] [Code]
      • AAAI
        • Ouroboros-Diffusion: Exploring Consistent Content Generation in Tuning-free Long Video Diffusion [Paper]
        • UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer [Paper]
        • Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM [Paper]
        • AdaDiff: Adaptive Step Selection for Fast Diffusion Models [Paper]
        • PanoDiT: Panoramic Videos Generation with Diffusion Transformer [Paper]
        • VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion Models [Paper]
        • DriveDreamer-2: LLM-Enhanced World Models for Diverse Driving Video Generation [Paper]
      • SIGGRAPH
        • CineMaster: A 3D-Aware and Controllable Framework for Cinematic Text-to-Video Generation [Paper]
        • Mobius: Text to Seamless Looping Video Generation via Latent Shift [Paper]
        • LayerFlow: A Unified Model for Layer-aware Video Generation [Paper]
      • ACM MM
        • AICL: Action In-Context Learning for Text-to-Video Generation [Paper]
        • Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models [Paper]
        • DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation [Paper]
      • arXiv
    • Year 2024
      • CVPR
        • Vlogger: Make Your Dream A Vlog [Paper] [Code]
        • Make Pixels Dance: High-Dynamic Video Generation [Paper] [Project] [Demo]
        • VGen: Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation [Paper] [Code] [Project]
        • GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation [Paper] [Project]
        • SimDA: Simple Diffusion Adapter for Efficient Video Generation [Paper] [Code] [Project]
        • MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation [Paper] [Project] [Video]
        • Generative Rendering: Controllable 4D-Guided Video Generation with 2D Diffusion Models [Paper] [Project]
        • PEEKABOO: Interactive Video Generation via Masked-Diffusion [Paper] [Code] [Project] [Demo]
        • EvalCrafter: Benchmarking and Evaluating Large Video Generation Models [Paper] [Code] [Project]
        • A Recipe for Scaling up Text-to-Video Generation with Text-free Videos [Paper] [Code] [Project]
        • BIVDiff: A Training-free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models [Paper] [Project]
        • Mind the Time: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis [Paper] [Project]
        • Animate Anyone: Consistent and Controllable Image-to-video Synthesis for Character Animation [Paper] [Code] [Project]
        • MotionDirector: Motion Customization of Text-to-Video Diffusion Models [Paper] [Code]
        • Hierarchical Patch-wise Diffusion Models for High-Resolution Video Generation [Paper] [Project]
        • DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation [Paper] [Code]
        • Grid Diffusion Models for Text-to-Video Generation [Paper] [Code] [Video]
      • ECCV
        • Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning [Paper] [Project]
        • W.A.L.T.: Photorealistic Video Generation with Diffusion Models [Paper] [Project]
        • MoVideo: Motion-Aware Video Generation with Diffusion Models [Paper]
        • DrivingDiffusion: Layout-Guided Multi-View Driving Scenarios Video Generation with Latent Diffusion Model [Paper] [Code] [Project]
        • MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing [Paper]
        • HARIVO: Harnessing Text-to-Image Models for Video Generation [Paper] [Project]
        • MEVG: Multi-event Video Generation with Text-to-Video Models [Paper] [Project]
      • NeurIPS
        • Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning [Paper] [Code]
      • ICML
        • Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization [Paper] [Project] [Code]
      • ICLR
        • VDT: General-purpose Video Diffusion Transformers via Mask Modeling [Paper] [Code] [Project]
        • VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation [Paper]
      • AAAI
        • Follow Your Pose: Pose-Guided Text-to-Video Generation using Pose-Free Videos [Paper] [Code] [Project]
        • E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning [Paper]
        • ConditionVideo: Training-Free Condition-Guided Text-to-Video Generation [Paper] [Code] [Project]
        • F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text to-Video Synthesis [Paper]
      • arXiv
        • Lumiere: A Space-Time Diffusion Model for Video Generation [Paper] [Project]
        • Boximator: Generating Rich and Controllable Motions for Video Synthesis [Paper] [Project] [Video]
        • World Model on Million-Length Video And Language With RingAttention [Paper] [Code] [Project]
        • Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion [Paper] [Project]
        • WorldDreamer: Towards General World Models for Video Generation via Predicting Masked Tokens [Paper] [Code] [Project]
        • MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation [Paper] [Project]
        • Latte: Latent Diffusion Transformer for Video Generation [Paper] [Code] [Project]
        • Mora: Enabling Generalist Video Generation via A Multi-Agent Framework [Paper] [Code]
        • StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text [Paper] [Code] [Project] [Video]
        • VIDiff: Translating Videos via Multi-Modal Instructions with Diffusion Models [Paper]
        • StoryDiffusion: Consistent Self-Attention for Long-Range Image and Video Generation [Paper] [Code] [Project] [Demo]
        • Ctrl-Adapter: An Efficient and Versatile Framework for Adapting Diverse Controls to Any Diffusion Model [Paper] [Code] [Project]
        • ControlNeXt: Powerful and Efficient Control for Image and Video Generation [Paper] [Code] [Project]
        • FancyVideo: Towards Dynamic and Consistent Video Generation via Cross-frame Textual Guidance [Paper] [Project]
        • Factorized-Dreamer: Training A High-Quality Video Generator with Limited and Low-Quality Data [Paper] [Code]
        • Fine-gained Zero-shot Video Sampling [[Paper]](https://arxiv.org/pd

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