Yueqi Duan* — accepted AI-conference papers

2024

DreamReward: Aligning Human Preference in Text-to-3D Generation

Junliang Ye, Fangfu Liu, Qixiu Li, Zhengyi Wang, Yikai Wang, Xinzhou Wang +2

ECCV 2024poster

"3D content creation from text prompts has shown remarkable success recently. However, current text-to-3D methods often generate 3D results that do not align well with human preferences. In this paper, we present a comprehensive framework, coined DreamReward, to learn and improve text-to-3D models f…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2024

Make-Your-3D: Fast and Consistent Subject-Driven 3D Content Generation

Fangfu Liu, Hanyang Wang, Weiliang Chen, Haowen Sun, Yueqi Duan*

ECCV 2024poster

"Recent years have witnessed the strong power of 3D generation models, which offer a new level of creative flexibility by allowing users to guide the 3D content generation process through a single image or natural language. However, it remains challenging for existing 3D generation methods to create…

Cited by 15 Source ↗PDF ↗code ↗Scholar ↗