4 citations · 6 across the 4 of their papers we have counts for
4 papers
Dual Diffusion Models for Multi-modal Guided 3D Avatar Generation
Hong Li, Yutang Feng, Minqi Meng +3
Generating high-fidelity 3D avatars from text or image prompts is highly sought after in virtual reality and human-computer interaction. However, existing text-driven methods often…
Motion Manipulation via Unsupervised Keypoint Positioning in Face Animation
Hong Li, Boyu Liu, Xuhui Liu +1
Face animation deals with controlling and generating facial features with a wide range of applications. The methods based on unsupervised keypoint positioning can produce realistic…
DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
Xuhui Liu, Zhi Qiao, Runkun Liu +5
Computed tomography (CT) is widely utilized in clinical settings because it delivers detailed 3D images of the human body. However, performing CT scans is not always feasible due t…
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
Bohan Zeng, Shanglin Li, Yutang Feng +9
Recent advances in 3D generation have been remarkable, with methods such as DreamFusion leveraging large-scale text-to-image diffusion-based models to guide 3D object generation. T…