5 papers
Balancing Image Compression and Generation with Bootstrapped Tokenization
Haozhe Chi, Jinghan Li, Hao Jiang +4
Despite progress in image tokenization, standard methods encode redundant information by mixing all granularities within each token, thus redundancy persists between tokens. The mi…
Learning from Next-Frame Prediction: Autoregressive Video Modeling Encodes Effective Representations
Jinghan Li, Yang Jin, Hao Jiang +3
Recent advances in pretraining general foundation models have significantly improved performance across diverse downstream tasks. While autoregressive (AR) generative models like G…
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling
Jinghan Li, Zhicheng Sun, Yadong Mu
In the endeavor to make autonomous robots take actions, task planning is a major challenge that requires translating high-level task descriptions to long-horizon action sequences.…
Pyramidal Flow Matching for Efficient Video Generative Modeling
Yang Jin, Zhicheng Sun, Ningyuan Li +7
Video generation requires modeling a vast spatiotemporal space, which demands significant computational resources and data usage. To reduce the complexity, the prevailing approache…
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
Zhicheng Sun, Zhenhao Yang, Yang Jin +7
Customizing diffusion models to generate identity-preserving images from user-provided reference images is an intriguing new problem. The prevalent approaches typically require tra…