EditCLIP: Representation Learning for Image Editing

26 March 2025

Papers citing "EditCLIP: Representation Learning for Image Editing"

7 / 7 papers shown

Title
FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models Vladimir Kulikov Matan Kleiner Inbar Huberman-Spiegelglas T. Michaeli DiffM 73 14 0 11 Dec 2024
Contrastive Denoising Score for Text-guided Latent Diffusion Image Editing Hyelin Nam Gihyun Kwon Geon Yeong Park Jong Chul Ye DiffM 39 29 0 30 Nov 2023
Sigmoid Loss for Language Image Pre-Training Xiaohua Zhai Basil Mustafa Alexander Kolesnikov Lucas Beyer CLIP VLM 54 1,028 0 27 Mar 2023
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 252 6,768 0 13 Apr 2022
Learning Transferable Visual Models From Natural Language Supervision Alec Radford Jong Wook Kim Chris Hallacy Aditya A. Ramesh Gabriel Goh ... Amanda Askell Pamela Mishkin Jack Clark Gretchen Krueger Ilya Sutskever CLIP VLM 507 28,659 0 26 Feb 2021
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 208 17,550 0 19 Jun 2020
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric Richard Y. Zhang Phillip Isola Alexei A. Efros Eli Shechtman Oliver Wang EGVM 179 11,610 0 11 Jan 2018