Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent
Diffusion Models for Virtual Try-All

Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All

24 January 2024

M. S. Seyfioglu

Karim Bouyarmane

Ismail B. Tutar

Papers citing "Diffuse to Choose: Enriching Image Conditioned Inpainting in Latent Diffusion Models for Virtual Try-All"

9 / 9 papers shown

Title
AnyLogo: Symbiotic Subject-Driven Diffusion System with Gemini Status Jinghao Zhang Wen Qian Hao Luo Fan Wang Feng Zhao DiffM 28 0 0 26 Sep 2024
Trimming the Risk: Towards Reliable Continuous Training for Deep Learning Inspection Systems Altaf Allah Abbassi Houssem Ben Braiek Foutse Khomh Thomas Reid 26 0 0 13 Sep 2024
Thinking Outside the BBox: Unconstrained Generative Object Compositing Gemma Canet Tarrés Zhe Lin Zhifei Zhang Jianming Zhang Yizhi Song Dan Ruta Andrew Gilbert John Collomosse Soo Ye Kim DiffM 35 9 0 06 Sep 2024
CatVTON: Concatenation Is All You Need for Virtual Try-On with Diffusion Models Zheng Chong Xiao Dong Haoxiang Li Shiyue Zhang Wenqing Zhang Xujie Zhang Hanqing Zhao D. Jiang Xiaodan Liang DiffM 52 17 0 21 Jul 2024
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data William Berman A. Peysakhovich 33 4 0 26 Jun 2024
DreamPaint: Few-Shot Inpainting of E-Commerce Items for Virtual Try-On without 3D Modeling M. S. Seyfioglu Karim Bouyarmane Suren Kumar A. Tavanaei Ismail B. Tutar DiffM 53 3 0 02 May 2023
DCCF: Deep Comprehensible Color Filter Learning Framework for High-Resolution Image Harmonization Ben Xue Sheng Ran Quan Chen Rongfei Jia Binqiang Zhao Xing Tang 89 62 0 11 Jul 2022
High-Resolution Virtual Try-On with Misalignment and Occlusion-Handled Conditions Sangyun Lee Gyojung Gu S. Park Seunghwan Choi Jaegul Choo DiffM 70 128 0 28 Jun 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,777 0 24 Feb 2021