31 citations · 52 across the 8 of their papers we have counts for
8 papers
Meshy T2: Fast Native Mesh Generation with Flow Matching
Jiale Xu, Rendong Liang, Yuhao Long +5
Polygonal meshes are the standard surface representation of modern 3D pipelines, and generating high-quality meshes with artist-style topology is essential for film, gaming, and in…
EmoTalk3D: High-Fidelity Free-View Synthesis of Emotional 3D Talking Head
Qianyun He, Xinya Ji, Yicheng Gong +11
We present a novel approach for synthesizing 3D talking heads with controllable emotion, featuring enhanced lip synchronization and rendering quality. Despite significant progress…
MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections
Jiayue Liu, Xiao Tang, Freeman Cheng +9
3D Gaussian Splatting showcases notable advancements in photo-realistic and real-time novel view synthesis. However, it faces challenges in modeling mirror reflections, which exhib…
Co-Speech Gesture Video Generation via Motion-Decoupled Diffusion Model
Xu He, Qiaochu Huang, Zhensong Zhang +7
Co-speech gestures, if presented in the lively form of videos, can achieve superior visual effects in human-machine interaction. While previous works mostly generate structural hum…
VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
Jiaqi Lin, Zhihao Li, Xiao Tang +8
Existing NeRF-based methods for large scene reconstruction often have limitations in visual quality and rendering speed. While the recent 3D Gaussian Splatting works well on small-…
Semantics-aware Motion Retargeting with Vision-Language Models
Haodong Zhang, ZhiKe Chen, Haocheng Xu +6
Capturing and preserving motion semantics is essential to motion retargeting between animation characters. However, most of the previous works neglect the semantic information or r…
UnifiedGesture: A Unified Gesture Synthesis Model for Multiple Skeletons
Sicheng Yang, Zilin Wang, Zhiyong Wu +8
The automatic co-speech gesture generation draws much attention in computer animation. Previous works designed network structures on individual datasets, which resulted in a lack o…
The DiffuseStyleGesture+ entry to the GENEA Challenge 2023
Sicheng Yang, Haiwei Xue, Zhensong Zhang +5
In this paper, we introduce the DiffuseStyleGesture+, our solution for the Generation and Evaluation of Non-verbal Behavior for Embodied Agents (GENEA) Challenge 2023, which aims t…