3 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation
Zehuan Huang, Hongxing Fan, Lipeng Wang +1
Recent advancements in controllable human image generation have led to zero-shot generation using structural signals (e.g., pose, depth) or facial appearance. Yet, generating human…
Siamese DETR
Zeren Chen, Gengshi Huang, Wei Li +5
Recent self-supervised methods are mainly designed for representation learning with the base model, e.g., ResNets or ViTs. They cannot be easily transferred to DETR, with task-spec…
VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
Ziqin Wang, Bowen Cheng, Lichen Zhao +3
The task of 3D semantic scene graph (3DSSG) prediction in the point cloud is challenging since (1) the 3D point cloud only captures geometric structures with limited semantics comp…
Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation
Ziming Wang, Xiaoliang Huo, Zhenghao Chen +3
Point cloud registration aims at estimating the geometric transformation between two point cloud scans, in which point-wise correspondence estimation is the key to its success. In…
ForgeryNet -- Face Forgery Analysis Challenge 2021: Methods and Results
Yinan He, Lu Sheng, Jing Shao +19
The rapid progress of photorealistic synthesis techniques has reached a critical point where the boundary between real and manipulated images starts to blur. Recently, a mega-scale…