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Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models
v1v2 (latest)

Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models

11 June 2024
Sooyeon Go
Kyungmook Choi
Minjung Shin
Youngjung Uh
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models"

4 / 4 papers shown
Title
MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
MVCustom: Multi-View Customized Diffusion via Geometric Latent Rendering and Completion
Minjung Shin
Hyunin Cho
Sooyeon Go
Jin-Hwa Kim
Youngjung Uh
92
0
0
15 Oct 2025
RichControl: Structure- and Appearance-Rich Training-Free Spatial Control for Text-to-Image Generation
RichControl: Structure- and Appearance-Rich Training-Free Spatial Control for Text-to-Image Generation
Liheng Zhang
Lexi Pang
Hang Ye
Xiaoxuan Ma
Yizhou Wang
DiffM
175
0
0
03 Jul 2025
Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation
Style Transfer with Diffusion Models for Synthetic-to-Real Domain AdaptationComputer Vision and Image Understanding (CVIU), 2025
Estelle Chigot
Dennis G. Wilson
Meriem Ghrib
Thomas Oberlin
DiffM
243
4
0
22 May 2025
FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation
FreeGraftor: Training-Free Cross-Image Feature Grafting for Subject-Driven Text-to-Image Generation
Zebin Yao
Lujie Niu
Huixing Jiang
Chen Wei
Fangkun Zhao
Ruifan Li
Fangxiang Feng
DiffM
362
1
0
22 Apr 2025
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