#Video Generation

Articles (8)

• 🇺🇸 ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation — 19/03/2026 [USA]

  arXiv:2603.17812v1 Announce Type: cross Abstract: Recent video diffusion models achieve high-quality generation through recurrent frame processing where each frame generation depends on previous fram...

  Related: #Machine Learning
• 🇺🇸 Motion Dreamer: Boundary Conditional Motion Reasoning for Physically Coherent Video Generation — 16/03/2026 [USA]

  arXiv:2412.00547v4 Announce Type: replace-cross Abstract: Recent advances in video generation have shown promise for generating future scenarios, critical for planning and control in autonomous drivi...

  Related: #AI Research
• 🇺🇸 SAW: Toward a Surgical Action World Model via Controllable and Scalable Video Generation — 16/03/2026 [USA]

  arXiv:2603.13024v1 Announce Type: cross Abstract: A surgical world model capable of generating realistic surgical action videos with precise control over tool-tissue interactions can address fundamen...

  Related: #Surgical AI
• 🇺🇸 OSCBench: Benchmarking Object State Change in Text-to-Video Generation — 13/03/2026 [USA]

  arXiv:2603.11698v1 Announce Type: cross Abstract: Text-to-video (T2V) generation models have made rapid progress in producing visually high-quality and temporally coherent videos. However, existing b...

  Related: #AI Benchmarking
• 🇺🇸 FlashMotion: Few-Step Controllable Video Generation with Trajectory Guidance — 13/03/2026 [USA]

  arXiv:2603.12146v1 Announce Type: cross Abstract: Recent advances in trajectory-controllable video generation have achieved remarkable progress. Previous methods mainly use adapter-based architecture...

  Related: #AI Control
• 🇺🇸 When to Lock Attention: Training-Free KV Control in Video Diffusion — 11/03/2026 [USA]

  arXiv:2603.09657v1 Announce Type: cross Abstract: Maintaining background consistency while enhancing foreground quality remains a core challenge in video editing. Injecting full-image information oft...

  Related: #AI Research
• 🇺🇸 Accelerating Video Generation Inference with Sequential-Parallel 3D Positional Encoding Using a Global Time Index — 10/03/2026 [USA]

  arXiv:2603.06664v1 Announce Type: cross Abstract: Diffusion Transformer (DiT)-based video generation models inherently suffer from bottlenecks in long video synthesis and real-time inference, which c...

  Related: #AI Efficiency
• 🇺🇸 A Survey: Spatiotemporal Consistency in Video Generation — 19/02/2026 [USA]

  arXiv:2502.17863v2 Announce Type: replace-cross Abstract: Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement in Artificial Intelligenc...

  Related: #Artificial Intelligence Generated Content, #Spatiotemporal Consistency, #Temporal Coherence, #Computer Vision