119 citations · 127 across the 7 of their papers we have counts for
7 papers
AIComposer: Any Style and Content Image Composition via Feature Integration
Haowen Li, Zhenfeng Fan, Zhang Wen +2
Image composition has advanced significantly with large-scale pre-trained T2I diffusion models. Despite progress in same-domain composition, cross-domain composition remains under-…
MyPortrait: Morphable Prior-Guided Personalized Portrait Generation
Bo Ding, Zhenfeng Fan, Shuang Yang +1
Generating realistic talking faces is an interesting and long-standing topic in the field of computer vision. Although significant progress has been made, it is still challenging t…
Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
Zhenfeng Fan, Zhiheng Zhang, Shuang Yang +3
While impressive progress has recently been made in image-oriented facial attribute translation, shape-oriented 3D facial attribute translation remains an unsolved issue. This is p…
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
Yang Bai, Min Cao, Daming Gao +5
Text-based person search aims to retrieve the specified person images given a textual description. The key to tackling such a challenging task is to learn powerful multi-modal repr…
Towards Fine-grained 3D Face Dense Registration: An Optimal Dividing and Diffusing Method
Zhenfeng Fan, Silong Peng, Shihong Xia
Dense vertex-to-vertex correspondence between 3D faces is a fundamental and challenging issue for 3D&2D face analysis. While the sparse landmarks have anatomically ground-truth cor…
3D-TalkEmo: Learning to Synthesize 3D Emotional Talking Head
Qianyun Wang, Zhenfeng Fan, Shihong Xia
Impressive progress has been made in audio-driven 3D facial animation recently, but synthesizing 3D talking-head with rich emotion is still unsolved. This is due to the lack of 3D…
A Backbone Replaceable Fine-tuning Framework for Stable Face Alignment
Xu Sun, Zhenfeng Fan, Zihao Zhang +2
Heatmap regression based face alignment has achieved prominent performance on static images. However, the stability and accuracy are remarkably discounted when applying the existin…