arXiv (All)
open access
Diffusion Editing with Soft Mask: Pixel Level Redo of Image and Video with Adjustable Strength
Diffusion models with prompt and reference image-guided editing have seen rapid progress, yet they remain too coarse for pixel-level control. One promising direction is to incorporate a soft mask that specifies spatially varying edit strengths but training such fine-grained control demands expensive
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- 3D-Consistent Multi-View Editing by Correspondence Guidance#820288
- Preserve, Reveal, Expand: Towards Faithful 4D Video Editing with Region-Aware Conditioning and Benchmarking#1116295
- DecFlowEdit: Self-Localized Flow-based Image Editing via Guidance Decoupling#1119310
- DisCo3D: Distilling Multi-View Consistency for 3D Scene Editing#793461
- DisCo3D: Distilling Multi-View Consistency for 3D Scene Editing#789457
Record · ID 1154982
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive