77 citations · 175 across the 6 of their papers we have counts for
9 papers
What Limits Cross-Task Generalization in World Action Models?
Chen Zhao, Zipeng Ye, Yihan Lin +2
Cross-task generalization remains difficult for world action models (WAMs), even when their predicted futures depict plausible manipulation. This gap can be attributed directly: we…
Flow-Support-Weighted Proposals for Test-Time Verified VLA Policies
Chen Zhao, Zipeng Ye, Haitao Shen +3
Test-time sampling promises to turn one action prediction into a set of distinct executable candidates that a verifier can choose among. Downstream fine-tuning works against that p…
Beyond Placement and Articulation: Usage-Driven Code Scenes for Embodied Interaction
Zijian Xiao, Zipeng Ye, Jinkun Hao +3
Indoor scene synthesis provides essential environments for embodied AI, robotic manipulation, and simulation-based policy learning. Recent code-based scene generation methods produ…
Dynamic Neural Textures: Generating Talking-Face Videos with Continuously Controllable Expressions
Zipeng Ye, Zhiyao Sun, Yu-Hui Wen +4
Recently, talking-face video generation has received considerable attention. So far most methods generate results with neutral expressions or expressions that are implicitly determ…
Audio-Driven Talking Face Video Generation with Dynamic Convolution Kernels
Zipeng Ye, Mengfei Xia, Ran Yi +5
In this paper, we present a dynamic convolution kernel (DCK) strategy for convolutional neural networks. Using a fully convolutional network with the proposed DCKs, high-quality ta…
Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose
Ran Yi, Zipeng Ye, Juyong Zhang +2
Real-world talking faces often accompany with natural head movement. However, most existing talking face video generation methods only consider facial animation with fixed head pos…