50 citations · 157 across the 31 of their papers we have counts for
9 papers · 1 filter
GaFET: Learning Geometry-aware Facial Expression Translation from In-The-Wild Images
Tianxiang Ma, Bingchuan Li, Qian He +2
While current face animation methods can manipulate expressions individually, they suffer from several limitations. The expressions manipulated by some motion-based facial reenactm…
Freestyle 3D-Aware Portrait Synthesis Based on Compositional Generative Priors
Tianxiang Ma, Kang Zhao, Jianxin Sun +2
Efficiently generating a freestyle 3D portrait with high quality and 3D-consistency is a promising yet challenging task. The portrait styles generated by most existing methods are…
RiDDLE: Reversible and Diversified De-identification with Latent Encryptor
Dongze Li, Wei Wang, Kang Zhao +2
This work presents RiDDLE, short for Reversible and Diversified De-identification with Latent Encryptor, to protect the identity information of people from being misused. Built upo…
Collaborative Feature Learning for Fine-grained Facial Forgery Detection and Segmentation
Weinan Guan, Wei Wang, Jing Dong +2
Detecting maliciously falsified facial images and videos has attracted extensive attention from digital-forensics and computer-vision communities. An important topic in manipulatio…
DeltaEdit: Exploring Text-free Training for Text-Driven Image Manipulation
Yueming Lyu, Tianwei Lin, Fu Li +3
Text-driven image manipulation remains challenging in training or inference flexibility. Conditional generative models depend heavily on expensive annotated training data. Meanwhil…
Designing a 3D-Aware StyleNeRF Encoder for Face Editing
Songlin Yang, Wei Wang, Bo Peng +1
GAN inversion has been exploited in many face manipulation tasks, but 2D GANs often fail to generate multi-view 3D consistent images. The encoders designed for 2D GANs are not able…
CFFT-GAN: Cross-domain Feature Fusion Transformer for Exemplar-based Image Translation
Tianxiang Ma, Bingchuan Li, Wei Liu +3
Exemplar-based image translation refers to the task of generating images with the desired style, while conditioning on certain input image. Most of the current methods learn the co…
Semantic 3D-aware Portrait Synthesis and Manipulation Based on Compositional Neural Radiance Field
Tianxiang Ma, Bingchuan Li, Qian He +2
Recently 3D-aware GAN methods with neural radiance field have developed rapidly. However, current methods model the whole image as an overall neural radiance field, which limits th…
Visual Realism Assessment for Face-swap Videos
Xianyun Sun, Beibei Dong, Caiyong Wang +2
Deep-learning based face-swap videos, also known as deep fakes, are becoming more and more realistic and deceiving. The malicious usage of these face-swap videos has caused wide co…