activity
20162026
most citedBlended Diffusion for Text-driven Editing of Natural Images

752 citations · 1.5k across the 33 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.CV2024★ 17 cited

Stable Flow: Vital Layers for Training-Free Image Editing

Omri Avrahami, Or Patashnik, Ohad Fried +4

Diffusion models have revolutionized the field of content synthesis and editing. Recent models have replaced the traditional UNet architecture with the Diffusion Transformer (DiT),…

cs.CV2024

Click2Mask: Local Editing with Dynamic Mask Generation

Omer Regev, Omri Avrahami, Dani Lischinski

Recent advancements in generative models have revolutionized image generation and editing, making these tasks accessible to non-experts. This paper focuses on local image editing,…

cs.CV2024★ 12 cited

DiffUHaul: A Training-Free Method for Object Dragging in Images

Omri Avrahami, Rinon Gal, Gal Chechik +4

Text-to-image diffusion models have proven effective for solving many image editing tasks. However, the seemingly straightforward task of seamlessly relocating objects within a sce…

cs.CV2024

EmoEdit: Evoking Emotions through Image Manipulation

Jingyuan Yang, Jiawei Feng, Weibin Luo +3

Affective Image Manipulation (AIM) seeks to modify user-provided images to evoke specific emotional responses. This task is inherently complex due to its twofold objective: signifi…

cs.CV2024

Generating Non-Stationary Textures using Self-Rectification

Yang Zhou, Rongjun Xiao, Dani Lischinski +2

This paper addresses the challenge of example-based non-stationary texture synthesis. We introduce a novel twostep approach wherein users first modify a reference texture using sta…

cs.HC2024★ 3 cited

GraphiMind: LLM-centric Interface for Information Graphics Design

Qirui Huang, Min Lu, Joel Lanir +3

Information graphics are pivotal in effective information dissemination and storytelling. However, creating such graphics is extremely challenging for non-professionals, since the…