4 citations · 5 across the 6 of their papers we have counts for
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cs.CV2026
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…
cs.CV2023★ 1 cited
ZONE: Zero-Shot Instruction-Guided Local Editing
Shanglin Li, Bohan Zeng, Yutang Feng +8
Recent advances in vision-language models like Stable Diffusion have shown remarkable power in creative image synthesis and editing.However, most existing text-to-image editing met…
cs.CV2023★ 4 cited
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…