2 citations · 2 across the 2 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.CV2026
ReState: Noise-Level-Aware State Correction for Training-Free Object Removal in Few-Step Diffusion Models
Donghwan Lee, Sanghyun Jo, Sihyun Kim +2
Training-free object removal commonly redirects self-attention away from the target region, but on few-step distilled diffusion models this often leaves object-shaped residuals. We…
cs.CV2026
Depth-to-RGB: Repurposing a Frozen Depth Estimator for Geometry-Guided Compositing
Sanghyun Jo, Chae Yeon Lim, Donghwan Lee +3
Reference-based object compositing inserts or replaces an object using a background image, a reference image, and a 2D compositing mask. These inputs guide appearance and placement…