Video Generation Meets Agent Harness: Agentic Video Generation, Agentic World Modeling and Recursive Self-Improvement Paper • 2610.40191 • Published 12 days ago • 77
Video Generation Meets Agent Harness: Agentic Video Generation, Agentic World Modeling and Recursive Self-Improvement Paper • 2610.40191 • Published 12 days ago • 77
Hy-Nomas: Towards Free-form Interactive World Generation Paper • 2610.36729 • Published 15 days ago • 113
Running on Zero Agents 2 Hy-Nomas Tencent Studio 🌍 2 Live interactive world generation in a Tencent Hy design
Glance Forcing: Making Bidirectional Diffusion Autoregressive at a Glance Paper • 2610.20220 • Published 28 days ago • 5
DynVideo-E: Harnessing Dynamic NeRF for Large-Scale Motion- and View-Change Human-Centric Video Editing Paper • 2310.10624 • Published Oct 16, 2023
Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? Paper • 2606.04811 • Published Jun 4 • 17
DreamVideo-Omni: Omni-Motion Controlled Multi-Subject Video Customization with Latent Identity Reinforcement Learning Paper • 2603.12257 • Published Mar 12 • 32
Video Reality Test: Can AI-Generated ASMR Videos fool VLMs and Humans? Paper • 2512.13281 • Published Dec 15, 2025 • 65
Hy-Nomas: Towards Free-form Interactive World Generation Paper • 2610.36729 • Published 15 days ago • 113
Data Journalist Agent: Transforming Data into Verifiable Multimodal Stories Paper • 2606.11176 • Published Jun 9 • 131
Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? Paper • 2606.04811 • Published Jun 4 • 17
Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation? Paper • 2606.04811 • Published Jun 4 • 17
AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation Paper • 2605.13724 • Published May 13 • 101
FlowInOne:Unifying Multimodal Generation as Image-in, Image-out Flow Matching Paper • 2604.06757 • Published Apr 8 • 10
FlowInOne:Unifying Multimodal Generation as Image-in, Image-out Flow Matching Paper • 2604.06757 • Published Apr 8 • 10