Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model Paper • 2504.08685 • Published 5 days ago • 104
GigaTok: Scaling Visual Tokenizers to 3 Billion Parameters for Autoregressive Image Generation Paper • 2504.08736 • Published 5 days ago • 39
Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1 Paper • 2503.24376 • Published 16 days ago • 37
Position: Interactive Generative Video as Next-Generation Game Engine Paper • 2503.17359 • Published 26 days ago • 61
Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation Paper • 2503.16430 • Published 27 days ago • 34
MiniMax-01: Scaling Foundation Models with Lightning Attention Paper • 2501.08313 • Published Jan 14 • 285
Moto: Latent Motion Token as the Bridging Language for Robot Manipulation Paper • 2412.04445 • Published Dec 5, 2024 • 23
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
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding Paper • 2410.01699 • Published Oct 2, 2024 • 18
Loong: Generating Minute-level Long Videos with Autoregressive Language Models Paper • 2410.02757 • Published Oct 3, 2024 • 37