mlsanityData to 7 Oct 2026

ClickRemoval: An Interactive Open-Source Tool for Object Removal in Diffusion Models

arXiv 2605.14461 ↗First posted 14 May 2026cs.CVcited by 1

On the map: Diffusion models → 3D, point cloud and scene generation

Abstract (arXiv)

Existing object removal tools often rely on manual masks or text prompts, making precise removal difficult for non-expert users in complex scenes and often leading to incomplete removal or unnatural background completion. To address this issue, we present ClickRemoval, an open-source interactive object removal tool built on pretrained Stable Diffusion models and driven solely by user clicks. Without additional training, hand-drawn masks, or text descriptions, ClickRemoval localizes target objects and restores the background through self-attention modulation during denoising. Experiments show that ClickRemoval achieves competitive results across quantitative metrics and user studies. We release a complete software package at https://github.com/zld-make/ClickRemoval under the Apache-2.0 license.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in 3D, point cloud and scene generation, one of 14 directions in Diffusion models. Builds on 9 of its 16 references that are in the map. First posted on arXiv 14 May 2026.

Builds on

9 of 16 references.

Closest ancestors · 2

Same direction, newest first

  1. 2024BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion11 Mar
  2. 2022SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model9 Dec

Other references · 7

  1. 2023Inpaint Anything: Segment Anything Meets Image Inpaintingcited by 233
  2. 2023A Task is Worth One Word: Learning with Task Prompts for High-Quality Versatile Image Inpaintingcited by 168
  3. 2025Pico-Banana-400K: A Large-Scale Dataset for Text-Guided Image Editingcited by 58
  4. 2025Entropy Rectifying Guidance for Diffusion and Flow Modelscited by 11
  5. 2024Repurposing Stable Diffusion Attention for Training-Free Unsupervised Interactive Segmentationcited by 9
  6. 2025PixelHacker: Image Inpainting with Structural and Semantic Consistencycited by 8
  7. 2024Object Remover Performance Evaluation Methods using Class-wise Object Removal Imagescited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

Similar, not cited

Close in wording, no citation either way

  1. 2026OSOR: One-Step Diffusion Inpainting for Effect-Aware Object Removal
  2. 2024ReMOVE: A Reference-free Metric for Object Erasure
  3. 2026PANDORA: Pixel-wise Attention Dissolution and Latent Guidance for Zero-Shot Object Removal
  4. 2024DiffUHaul: A Training-Free Method for Object Dragging in Images
  5. 2024CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
  6. 2025OmnimatteZero: Fast Training-free Omnimatte with Pre-trained Video Diffusion Models
  7. 2024Diffusion Model-Based Image Editing: A Survey
  8. 2026From Understanding to Erasing: Towards Complete and Stable Video Object Removal