T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT Paper • 2505.00703 • Published 2 days ago • 25
Personalized Text-to-Image Generation with Auto-Regressive Models Paper • 2504.13162 • Published 16 days ago • 18
GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation Paper • 2504.08736 • Published 22 days ago • 47
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1 Paper • 2503.24376 • Published Mar 31 • 38
Any2Caption:Interpreting Any Condition to Caption for Controllable Video Generation Paper • 2503.24379 • Published Mar 31 • 76
Position: Interactive Generative Video as Next-Generation Game Engine Paper • 2503.17359 • Published Mar 21 • 62
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation Paper • 2503.16430 • Published Mar 20 • 35
DiffMoE: Dynamic Token Selection for Scalable Diffusion Transformers Paper • 2503.14487 • Published Mar 18 • 27
ReCamMaster: Camera-Controlled Generative Rendering from A Single Video Paper • 2503.11647 • Published Mar 14 • 140
GoT: Unleashing Reasoning Capability of Multimodal Large Language Model for Visual Generation and Editing Paper • 2503.10639 • Published Mar 13 • 50
GameFactory: Creating New Games with Generative Interactive Videos Paper • 2501.08325 • Published Jan 14 • 66
Moto: Latent Motion Token as the Bridging Language for Robot Manipulation Paper • 2412.04445 • Published Dec 5, 2024 • 23
GenMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration Paper • 2412.04440 • Published Dec 5, 2024 • 21
PUMA: Empowering Unified MLLM with Multi-granular Visual Generation Paper • 2410.13861 • Published Oct 17, 2024 • 57
LVD-2M: A Long-take Video Dataset with Temporally Dense Captions Paper • 2410.10816 • Published Oct 14, 2024 • 21