DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization

no code implementations • 5 Feb 2025 • Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua

However, existing methods often struggle to align generated content with human preferences, limiting their applicability and flexibility.

3D Generation Text to 3D

HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting

1 code implementation • 9 Feb 2024 • Zhenglin Zhou, Fan Ma, Hehe Fan, Zongxin Yang, Yi Yang

Extensive experiments demonstrate the efficacy of HeadStudio in generating animatable avatars from textual prompts, exhibiting appealing appearances.

STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection

1 code implementation • CVPR 2023 • Zhenglin Zhou, Huaxia Li, Hong Liu, Nanyang Wang, Gang Yu, Rongrong Ji

To solve this problem, we propose a Self-adapTive Ambiguity Reduction (STAR) loss by exploiting the properties of semantic ambiguity.

Face Alignment Facial Landmark Detection

StyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation

2 code implementations • 30 May 2023 • Chi Zhang, YiWen Chen, Yijun Fu, Zhenglin Zhou, Gang Yu, Billzb Wang, Bin Fu, Tao Chen, Guosheng Lin, Chunhua Shen

The recent advancements in image-text diffusion models have stimulated research interest in large-scale 3D generative models.

3D Generation Attribute +2