.png){kind=icon}
Return
Point2pix-Zero: Point-driven refined diffusion for multi-object image editing
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patcog.2025.112041.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
• We propose a novel point-driven framework for inference-time image editing. • Our method edits objects from a few points, automatically identifying visual and semantic information. • We introduce a refined diffusion strategy to mitigate visual and semantic mismatches during editing. • Extensive experiments on single and multi-object images demonstrate our approach’s efficacy.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W
Organization
No organization information available
Cited Papers
ShareSaveFrequency domain-based latent diffusion model for underwater image enhancement.png)
PATTERN RECOGNITION
PATTERN RECOGNITIONIF7.6
PREAI
ShareSave
View more