Video generation
Key facts. Video generation: 1,316 papers on arXiv since 2022 (data through 7 Oct 2026). 467 of its 1,316 mapped papers (35%) cite “CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer” (2024, arXiv 2408.06072). 452 of its 1,316 mapped papers (34%) cite “Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets” (2023, arXiv 2311.15127). 58 new papers 17 Sep–7 Oct.
What’s new
17 Sep – 7 Oct 2026
58 new papers, 17 Sep – 7 Oct; 6 this week.
- This week · 6
- GRACE: Generation-aware latent compression for efficient video generation
- MORCA: Offline-to-Online Reinforcement Learning for Adaptive Cache Reuse in Video Diffusion Acceleration
- Backend-Agnostic Sparse Attention for Fast High-Resolution Visual Generation
- S2PD: Serial-to-Parallel Diffusion for Physically and Logically Consistent Video Generation
- MC-Sparse: Deconstructing and Closing the Dense-Sparse Attention Gap in Diffusion Transformers
- Level-of-Token Diffusion also fits: 3D, point cloud and scene generation
- Earlier · 52
- CleanMDM: Clean Motion Diffusion Model for Multimodal Motion Cleanup
- PixReenact: Pixel-Conditioned Causal Video Diffusion for Streaming Head-Avatar Reenactment
- SUAVE: Unified Video-Action Models via Masked Diffusion
- FADE: Frame-Aware Diffusion-Transformer-based Multi-Concept Erasure for Video Unlearning
All 58
- VDOT++: Unified Few-Step Video Generation via Unbalanced Optimal Transport Distillation
- Contextual Flow Matching: Adaptive Step Selection in Flow Models for Efficient Visual Generation
- Does Physics Live in the Activations? Localizing Physical Quantities in Video Diffusion Models
- In-Distribution Forcing for Long Video Generation at Test Time
- Parasitic Co-Denoising: Unlocking 3D Human Motion Generation in a Frozen Video Diffusion Model
- SemanTok: Predictable Semantic Tokens for Efficient Autoregressive Video Generation
- Dream4ACT: A Shared Visual Action Interface for Multi-Embodiment Video-Action Modeling
- PartiCam: Camera Controlled Video Generation with Reward Guidance
- DeCoPrune: Efficient KV-Cache Pruning for Autoregressive Video Diffusion via Denoising Consistency
- PARK: Accurate Block Retrieval for Sparse Attention in Video Diffusion Transformers
- Future Video Generation Better Aligns with the Human Visual Cortex than Observed Video
- In-Flight KV Cache with Clean Anchors for Faster Autoregressive Video Diffusion also fits: Diffusion foundations and sampling
- LongLive-Plug: Once-for-All Distillation for Video Generation
- Breaking the Uniformity Trap: Scaling Video Diffusion Model via SplitMoE
- Self-Aligned Forcing: Streaming Video Diffusion with Differentiable Noisy History
- Rollout-Marginal Distillation for Long-Horizon Autoregressive Video Generation
- ReCaVSR: One-Step Streaming Diffusion Video Super-Resolution with Recycled Latents and Learned Cache Routing also fits: Inverse problems and image restoration
- DIET: Deletion-response Expert Trimming for Video Diffusion Transformers also fits: Robustness, privacy and adversarial aspects
- Parameterized Stripe Attention for Efficient Video Generation
- Motion Concept Unlearning in Video Diffusion Models
- Learning via Self-Consistency for Diffusion-based Video Reasoning
- FastVR: Efficient Streaming Video Restoration with One-Step Diffusion also fits: Inverse problems and image restoration
- PulseQuant: Propagation-Guided Subspace Correction for 4-Bit Video Diffusion Transformers also fits: Inverse problems and image restoration
- Temporal-Attention Head Specialization During Video Diffusion Training
- CoRe: Co-Evolving Reward Models for Mitigating Latent Reward Hacking in Video Diffusion Models
- Lagrangian--Hamiltonian Flows for Video Prediction and Image Generation: A Symplectic Perspective also fits: Flow matching, time series and science
- BiMoGen: Bidirectional Motion-Text Generation via Unified Masked Discrete Diffusion
- Sol-H3: Recursive Self-Improvement for MiniMax-H3 Inference Acceleration on Sol-Engine across Cloud and Edge also fits: Diffusion foundations and sampling
- From Static to Dynamic: On-Policy Distillation from Image to Video Diffusion Models
- MotionSpaceFlow: Representation-Aware Flow Matching in Direct Motion Space
- DraftAttention2: Fast Video Diffusion with Low-Resolution-Guided Mixed-Precision Attention
- UnStep: Training-Free Acceleration of Causal Video Diffusion with Fewer Steps Than Distillation
- Carnator: Fast Text-to-Video Generation with Generation-Native Compatibility-Guided Cross-Request Reuse
- OneFixer: High-Quality and Consistent One-Step Autoregressive 3DGS Refinement for Driving Scenes also fits: 3D, point cloud and scene generation
- DyMD: Preserving Interaction Dynamics through Distribution Matching Distillation in Few-Step Video World Models
- Where Compute Matters: Heterogeneous Attention for Efficient Video Diffusion
- Timo: Taming Multimodal Diffusion Transformer for Human Motion Generation
- ViRDM: Taming Representation Distribution Matching for Few-Step Causal Video Generation
- Latent evolving World Action Model also fits: Diffusion and flow policies for robotics
- Streaming Video Editing with Easy Adaptation
- Why Do Video Diffusion Models Violate Physics? Unveiling the Flaws in Attention Mechanisms
- SparkDiffusion: Mitigating the High-Sparsity Trap --- A Unified Framework for up to 265× Single-GPU Acceleration of Visual Generation
- MT-WAM: Reorienting the One-Pass Predictive Representation Toward Action Generation
- CompAdapt: Adaptable Composite Motion Modeling for Physics-Consistent Text-to-Video Generation
- JEPA Guided Diffusion: Predictive Vision-Language Conditioning for Generative Traffic Forecasting also fits: Diffusion and flow policies for robotics
- Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
- DART: Distillation-Aware Reparameterization for Training-Free LoRA Reuse in Few-Step Video Diffusion Models
- PACE: Precise AI Cinematic Expression also fits: 3D, point cloud and scene generation
Foundations
Most cited by papers here
- CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer2024cited by 467 here
- Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets2023cited by 452 here
- Video Diffusion Models2022cited by 376 here
- Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models2023cited by 374 here
- AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning2023cited by 355 here
Lineage
The papers this direction builds on, oldest first.
Each paper on the line cites the one before.
- 2020Denoising Diffusion Probabilistic Modelscited by 765 here
- 2020Denoising Diffusion Implicit Modelscited by 516 here
- 2021Diffusion Models Beat GANs on Image Synthesiscited by 275 here
- 2021High-Resolution Image Synthesis with Latent Diffusion Modelscited by 670 here
- 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 258 here
- 2022Photorealistic Text-to-Image Diffusion Models with Deep Language Understandingcited by 280 here
- 2022Imagen Video: High Definition Video Generation with Diffusion Modelscited by 349 here
- 2022Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generationcited by 285 here
- 2023Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generatorscited by 211 here
- 2023AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuningcited by 355 here
- 2023VideoCrafter1: Open Diffusion Models for High-Quality Video Generationcited by 173 here
- 2024VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Modelscited by 173 here
12 more it builds on, not in this chain
- 2020Score-Based Generative Modeling through Stochastic Differential Equationscited by 294 here
- 2022Video Diffusion Modelscited by 376 here
- 2022Classifier-Free Diffusion Guidancecited by 295 here
- 2022Flow Matching for Generative Modelingcited by 183 here
- 2022Scalable Diffusion Models with Transformerscited by 463 here
- 2023Structure and Content-Guided Video Synthesis with Diffusion Modelscited by 191 here
- 2023Adding Conditional Control to Text-to-Image Diffusion Modelscited by 307 here
- 2023Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Modelscited by 374 here
- 2023ModelScope Text-to-Video Technical Reportcited by 219 here
- 2023Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasetscited by 452 here
- 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 205 here
- 2024CogVideoX: Text-to-Video Diffusion Models with An Expert Transformercited by 467 here
The 24 most cited of 2,832.
Browse
30 of 1,316, ranked 6–35
- 6Imagen Video: High Definition Video Generation with Diffusion Models2022349
- 7Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation2022285
- 8ModelScope Text-to-Video Technical Report2023219
- 9Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators2023211
- 10Structure and Content-Guided Video Synthesis with Diffusion Models2023191
- 11VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models2024173
- 12VideoCrafter1: Open Diffusion Models for High-Quality Video Generation2023173
- 13MagicVideo: Efficient Video Generation With Latent Diffusion Models2022172
- 14Latte: Latent Diffusion Transformer for Video Generation2024160
- 15FateZero: Fusing Attentions for Zero-shot Text-based Video Editing2023157
All 30
- 16Human Motion Diffusion Model2022141
- 17Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion2025139
- 18LTX-Video: Realtime Video Latent Diffusion2024137
- 19MotionDiffuse: Text-Driven Human Motion Generation with Diffusion Model2022132
- 20LAVIE: High-Quality Video Generation with Cascaded Latent Diffusion Models2023129
- 21From Slow Bidirectional to Fast Autoregressive Video Diffusion Models2024126
- 22Latent Video Diffusion Models for High-Fidelity Long Video Generation2022126
- 23Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models2023124
- 24DynamiCrafter: Animating Open-domain Images with Video Diffusion Priors2023117
- 25I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion Models2023117
- 26VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation2023114
- 27Pix2Video: Video Editing using Image Diffusion2023107
- 28Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation2023105
- 29Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity2025104
- 30ControlVideo: Training-free Controllable Text-to-Video Generation2023103
- 31Executing your Commands via Motion Diffusion in Latent Space202299
- 32Pyramidal Flow Matching for Efficient Video Generative Modeling202495
- 33Lumiere: A Space-Time Diffusion Model for Video Generation202493
- 34Show-1: Marrying Pixel and Latent Diffusion Models for Text-to-Video Generation202392
- 35MCVD: Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation202290