15 papers
UniSH: Unifying Scene and Human Reconstruction in a Feed-Forward Pass
Mengfei Li, Peng Li, Zheng Zhang +9
We present UniSH, a unified, feed-forward framework for joint metric-scale 3D scene and human reconstruction. A key challenge in this domain is the scarcity of large-scale, annotat…
MChat: Empowering VLM for Multimodal LLM Interleaved Text-Image Generation
Xiaowei Chi, Junbo Qi, Rongyu Zhang +3
While current LLM chatbots like GPT-4V bridge the gap between human instructions and visual representations to enable text-image generations, they still lack efficient alignment me…
VividListener: Expressive and Controllable Listener Dynamics Modeling for Multi-Modal Responsive Interaction
Shiying Li, Xingqun Qi, Bingkun Yang +6
Generating responsive listener head dynamics with nuanced emotions and expressive reactions is crucial for practical dialogue modeling in various virtual avatar animations. Previou…
VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling
Zeyue Tian, Zhaoyang Liu, Ruibin Yuan +6
In this work, we systematically study music generation conditioned solely on the video. First, we present a large-scale dataset comprising 360K video-music pairs, including various…
CoGesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion
Xingqun Qi, Yatian Wang, Hengyuan Zhang +6
Generating gestures from human speech has gained tremendous progress in animating virtual avatars. While the existing methods enable synthesizing gestures cooperated by individual…
CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild
Xingqun Qi, Hengyuan Zhang, Yatian Wang +10
Deriving co-speech 3D gestures has seen tremendous progress in virtual avatar animation. Yet, the existing methods often produce stiff and unreasonable gestures with unseen human s…