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Yutang Feng

4 accepted papers

2025

IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts

ICLR 2025poster

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. These methods enable the synthesis of detailed and photorealistic textured objects. However, the appearance of 3D objects…

2024

UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation

CVPR 2024poster

3D face reconstruction aims at generating high-fidelity 3D face shapes and textures from single-view or multi-view images. However current prevailing facial texture generation methods generally suffer from low-quality texture identity information loss and inadequate handling of occlusions. To solve…

2024

WAVE: Warping DDIM Inversion Features for Zero-shot Text-to-Video Editing

ECCV 2024poster

"Text-driven video editing has emerged as a prominent application based on the breakthroughs of image diffusion models. Existing state-of-the-art methods focus on zero-shot frameworks due to limited training data and computing resources. To preserve structure consistency, previous frameworks usually…

2024

ZONE: Zero-Shot Instruction-Guided Local Editing

CVPR 2024poster

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 methods encounter two obstacles: First the text prompt needs to be carefully crafted to achieve good results which is not in…