11 citations · 18 across the 8 of their papers we have counts for
8 papers
RS-Corrector: Correcting the Racial Stereotypes in Latent Diffusion Models
Yue Jiang, Yueming Lyu, Tianxiang Ma +2
Recent text-conditioned image generation models have demonstrated an exceptional capacity to produce diverse and creative imagery with high visual quality. However, when pre-traine…
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…
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…
ReGANIE: Rectifying GAN Inversion Errors for Accurate Real Image Editing
Bingchuan Li, Tianxiang Ma, Peng Zhang +4
The StyleGAN family succeed in high-fidelity image generation and allow for flexible and plausible editing of generated images by manipulating the semantic-rich latent style space.…
CFA-Net: Controllable Face Anonymization Network with Identity Representation Manipulation
Tianxiang Ma, Dongze Li, Wei Wang +1
De-identification of face data has drawn increasing attention in recent years. It is important to protect people's identities meanwhile keeping the utility of the data in many comp…
MUST-GAN: Multi-level Statistics Transfer for Self-driven Person Image Generation
Tianxiang Ma, Bo Peng, Wei Wang +1
Pose-guided person image generation usually involves using paired source-target images to supervise the training, which significantly increases the data preparation effort and limi…