6 citations · 6 across the 3 of their papers we have counts for
4 papers
World2Motion: Turning Video World Models into 3D Human Motion Generators
Fangyuan Tu, Tu Fangyuan, Xiangyue Zhang +9
We present World2Motion, a framework that generates scene-aware 3D human motion and corresponding video from a single image and a text prompt. While existing 3D motion generators l…
FloodDiffusion: Tailored Diffusion Forcing for Streaming Motion Generation
Yiyi Cai, Yuhan Wu, Kunhang Li +3
We present FloodDiffusion, a new framework for text-driven, streaming human motion generation. Given time-varying text prompts, FloodDiffusion generates text-aligned, seamless moti…
Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-training via Differentiable Rendering of Line Segments
Yusuke Takimoto, Hikari Takehara, Hiroyuki Sato +2
In the film and gaming industries, achieving a realistic hair appearance typically involves the use of strands originating from the scalp. However, reconstructing these strands fro…
EMAGE: Towards Unified Holistic Co-Speech Gesture Generation via Expressive Masked Audio Gesture Modeling
Haiyang Liu, Zihao Zhu, Giorgio Becherini +7
We propose EMAGE, a framework to generate full-body human gestures from audio and masked gestures, encompassing facial, local body, hands, and global movements. To achieve this, we…