Can We Model the Artifacts Explicitly? Disentangle Artifacts via Pairwise Edit Relations for Image Manipulation Localization
cs.CV
Submitted: 2026-10-06
Updated: 2026-10-06
Comments: NeurIPS 2026 (Oral)
Code: https://github.com/venus-guangjian/PAL
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- PASA: A Principled Embedding-Space Watermarking Approach for LLM-Generated Text under Semantic-Invariant Attacks
- GPT-4o System Card
- A/B Agent: A Self-Evolving Agent for Strategy Iteration in Industrial A/B Testing
- IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
- Seedream 4.0: Toward Next-generation Multimodal Image Generation
- DINOv3
- Gemini: A Family of Highly Capable Multimodal Models
- Venus-DeFakerOne: Unified Fake Image Detection & Localization
- Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection
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