Chengjian Feng
2 papers · Latest:
Computer Vision
LeapAlign: Post-Training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories
LeapAlign fine-tunes flow matching models for preference alignment by using two-step trajectories, enabling efficient, stable direct gradient updates at any generation step.
2604.15311
Computer VisionSeedance 2.0: Advancing Video Generation for World Complexity
Seedance 2.0 is a new multi-modal audio-video generation model with a unified architecture, offering advanced capabilities and improved performance.
2604.14148
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