11 citations · 17 across the 3 of their papers we have counts for
4 papers · 1 filter
SimDiff: Simulator-constrained Diffusion Model for Physically Plausible Motion Generation
Akihisa Watanabe, Jiawei Ren, Li Siyao +3
Generating physically plausible human motion is crucial for applications such as character animation and virtual reality. Existing approaches often incorporate a simulator-based mo…
LineArt: A Knowledge-guided Training-free High-quality Appearance Transfer for Design Drawing with Diffusion Model
Xi Wang, Hongzhen Li, Heng Fang +4
Image rendering from line drawings is vital in design and image generation technologies reduce costs, yet professional line drawings demand preserving complex details. Text prompts…
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…
DiffFaceSketch: High-Fidelity Face Image Synthesis with Sketch-Guided Latent Diffusion Model
Yichen Peng, Chunqi Zhao, Haoran Xie +2
Synthesizing face images from monochrome sketches is one of the most fundamental tasks in the field of image-to-image translation. However, it is still challenging to (1)~make mode…