79 citations · 92 across the 10 of their papers we have counts for
10 papers
Controllable 3D Face Generation with Conditional Style Code Diffusion
Xiaolong Shen, Jianxin Ma, Chang Zhou +1
Generating photorealistic 3D faces from given conditions is a challenging task. Existing methods often rely on time-consuming one-by-one optimization approaches, which are not effi…
GD^2-NeRF: Generative Detail Compensation via GAN and Diffusion for One-shot Generalizable Neural Radiance Fields
Xiao Pan, Zongxin Yang, Shuai Bai +1
In this paper, we focus on the One-shot Novel View Synthesis (O-NVS) task which targets synthesizing photo-realistic novel views given only one reference image per scene. Previous…
Global-correlated 3D-decoupling Transformer for Clothed Avatar Reconstruction
Zechuan Zhang, Li Sun, Zongxin Yang +2
Reconstructing 3D clothed human avatars from single images is a challenging task, especially when encountering complex poses and loose clothing. Current methods exhibit limitations…
Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation
Yuanyou Xu, Zongxin Yang, Yi Yang
Tracking any given object(s) spatially and temporally is a common purpose in Visual Object Tracking (VOT) and Video Object Segmentation (VOS). Joint tracking and segmentation have…
CATR: Combinatorial-Dependence Audio-Queried Transformer for Audio-Visual Video Segmentation
Kexin Li, Zongxin Yang, Lei Chen +2
Audio-visual video segmentation~(AVVS) aims to generate pixel-level maps of sound-producing objects within image frames and ensure the maps faithfully adhere to the given audio, su…
JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery
Jiahao Li, Zongxin Yang, Xiaohan Wang +3
In this study, we focus on the problem of 3D human mesh recovery from a single image under obscured conditions. Most state-of-the-art methods aim to improve 2D alignment technologi…