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Zero-Shot Object Removal via Attention Masking, Latent Anchoring, and Refinement

Paper recorded by Signals 4 on 2026-09-23 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-23 on arXiv · recorded by Signals 4 on 2026-09-24

Category: cs.CV · 计算机视觉 · first seen 2026-09-24

Abstract

Removing an object from a real image requires more than synthesizing plausible content within a mask: the method must suppress residual object features, preserve the unedited scene, and generate replacement content that is consistent with the surrounding background. This paper approaches object removal from a stage-based perspective and proposes a zero-shot framework for constrained latent inpaint

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#7 most recent of 301 cs.CV papers we have recorded · ↑ newer: Privacy-Preserving Semantic Segmentation from High-Resolution Depth an · ↓ older: BronchoTop: Bronchoscopy Navigation via RGB-Only Topological Localizat
Cite this page: Zero-Shot Object Removal via Attention Masking, Latent Anchoring, and Refinement: the #7 most recent of 301 cs.CV papers we have recorded (as of 2026-09-23). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/zero-shot-object-removal-via-attention-masking-latent-anchoring-and-refinement.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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