arXiv (All)
open access
3D-Consistent Multi-View Editing by Correspondence Guidance
Recent advancements in diffusion and flow models have greatly improved text-based image editing, yet methods that edit images independently often produce geometrically and photometrically inconsistent results across different views of the same scene. Such inconsistencies are particularly problematic
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
- DisCo3D: Distilling Multi-View Consistency for 3D Scene Editing#793461
- DisCo3D: Distilling Multi-View Consistency for 3D Scene Editing#789457
- P-CORE: Self-Supervised Surface Consistency for Point-Based Neural Editing#926277
- Diffusion Editing with Soft Mask: Pixel Level Redo of Image and Video with Adjustable Strength#1154982
- Video Generative Models as Geometry Learner#792546
Record · ID 820288
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