1 citations · 1 across the 1 of their papers we have counts for
4 papers
GenLCA: 3D Diffusion for Full-Body Avatars from In-the-Wild Videos
Yiqian Wu, Rawal Khirodkar, Egor Zakharov +6
We present GenLCA, a diffusion-based generative model for generating and editing photorealistic full-body avatars from text and image inputs. The generated avatars are faithful to…
Text-based Animatable 3D Avatars with Morphable Model Alignment
Yiqian Wu, Malte Prinzler, Xiaogang Jin +1
The generation of high-quality, animatable 3D head avatars from text has enormous potential in content creation applications such as games, movies, and embodied virtual assistants.…
Mask Factory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation
Haotian Qian, YD Chen, Shengtao Lou +3
Dichotomous Image Segmentation (DIS) tasks require highly precise annotations, and traditional dataset creation methods are labor intensive, costly, and require extensive domain ex…
StyleTex: Style Image-Guided Texture Generation for 3D Models
Zhiyu Xie, Yuqing Zhang, Xiangjun Tang +4
Style-guided texture generation aims to generate a texture that is harmonious with both the style of the reference image and the geometry of the input mesh, given a reference style…