Wenkun He — accepted AI-conference papers

2025

DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space

Junyu Chen, Dongyun Zou, Wenkun He, Junsong Chen, Enze Xie, Song Han +1

ICCV 2025poster

We present DC-AE 1.5, a new family of deep compression autoencoders for high-resolution diffusion models. Increasing the autoencoder's latent channel number is a highly effective approach for improving its reconstruction quality. However, it results in slow convergence for diffusion models, leading…

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2025

SyncDiff: Synchronized Motion Diffusion for Multi-Body Human-Object Interaction Synthesis

Wenkun He, Yun Liu, Ruitao Liu, Li Yi

ICCV 2025poster

Synthesizing realistic human-object interaction motions is a critical problem in VR/AR and human animation. Unlike the commonly studied scenarios involving a single human or hand interacting with one object, we address a more generic multi-body setting with arbitrary numbers of humans, hands, and ob…

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