Mind the RefGAP: Correcting Reference Attention in Diffusion-Based Visual Editing
cs.CV
Submitted: 2026-09-28
Updated: 2026-09-28
Project page: https://yanan-wang-cs.github.io/RefGAP/ABSTRACT
Terminology
Sources
- SAM 3: Segment Anything with Concepts
- RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance
- Prompt-to-Prompt Image Editing with Cross Attention Control
- Dual-Channel Attention Guidance for Training-Free Image Editing Control in Diffusion Transformers
- MediaPipe: A Framework for Building Perception Pipelines
- DINOv2: Learning Robust Visual Features without Supervision
- DirectSwap: Mask-Free Cross-Identity Training and Benchmarking for Expression-Consistent Video Head Swapping
- Head Similarity: Modeling Structured Whole-Head Appearance Beyond Face Recognition
- Qwen-Image Technical Report
- OmniGen2: Towards Instruction-Aligned Multimodal Generation
- LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing
- JoyAI-Video-Edit: Real-Time Open-Ended Video Editing with Autoregressive Diffusion
- IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
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