arXiv (OAI Expanded)
open access
KwaiMind Technical Report
Commercial image editing requires product identity preservation, accurate text rendering, and user appeal alongside general editing quality. We present KwaiMind, an image editing system combining general capabilities with e-commerce specialization. An agent-based data engine maintains approximately
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
- KwaiMind Technical Report#1062271
- HiLo-Token: Input-Adaptive High-Low Frequency Token Compression for Efficient Image Editing#1036724
- HuggingFaceM4/OBELICS#786882
- STEPS: Scene Text Editing with Preserved Style Using Diffusion and Contrastive Style Encoding#1143237
- Identify, Locate, Link: End-to-End Key-Value Extraction from Document Images#662061
Record · ID 1319166
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