7 citations · 9 across the 16 of their papers we have counts for
7 papers · 1 filter
Generating Editable Head Avatars with 3D Gaussian GANs
Guohao Li, Hongyu Yang, Yifang Men +4
Generating animatable and editable 3D head avatars is essential for various applications in computer vision and graphics. Traditional 3D-aware generative adversarial networks (GANs…
3D-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling
Zichen Tang, Hongyu Yang, Hanchen Zhang +2
Advancements in neural implicit representations and differentiable rendering have markedly improved the ability to learn animatable 3D avatars from sparse multi-view RGB videos. Ho…
3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior
Guohao Li, Hongyu Yang, Di Huang +1
Generative 3D face models featuring disentangled controlling factors hold immense potential for diverse applications in computer vision and computer graphics. However, previous 3D…
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization
Xiefan Guo, Jinlin Liu, Miaomiao Cui +3
Recent strides in the development of diffusion models, exemplified by advancements such as Stable Diffusion, have underscored their remarkable prowess in generating visually compel…
DreamScape: 3D Scene Creation via Gaussian Splatting joint Correlation Modeling
Yueming Zhao, Xuening Yuan, Hongyu Yang +1
Recent advances in text-to-3D creation integrate the potent prior of Diffusion Models from text-to-image generation into 3D domain. Nevertheless, generating 3D scenes with multiple…
DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition
Hebeizi Li, Hongyu Yang, Di Huang
Facial Expression Recognition (FER) has consistently been a focal point in the field of facial analysis. In the context of existing methodologies for 3D FER or 2D+3D FER, the extra…
Deep Common Feature Mining for Efficient Video Semantic Segmentation
Yaoyan Zheng, Hongyu Yang, Di Huang
Recent advancements in video semantic segmentation have made substantial progress by exploiting temporal correlations. Nevertheless, persistent challenges, including redundant comp…