Image Editing Comparison Hub
5 papers - avg viability 6.8
Top Papers
- Agentic Planning with Reasoning for Image Styling via Offline RL(8.0)
Agentic planning with offline RL for image styling enables nuanced transformations via interpretable tool sequences, improving visual quality and instruction following.
- ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning(7.0)
ImageEdit-R1 uses reinforcement learning to coordinate multiple specialized agents for intelligent image editing, outperforming existing closed-source models.
- A$^2$-Edit: Precise Reference-Guided Image Editing of Arbitrary Objects and Ambiguous Masks(7.0)
A$^2$-Edit is an advanced inpainting framework that enables precise image editing of arbitrary objects using coarse masks.
- GRADE: Benchmarking Discipline-Informed Reasoning in Image Editing(7.0)
GRADE is a benchmark for assessing discipline-informed reasoning in image editing across various academic domains.
- InEdit-Bench: Benchmarking Intermediate Logical Pathways for Intelligent Image Editing Models(5.0)
InEdit-Bench is the first benchmark to evaluate intermediate logical pathways in image editing models, promoting advanced procedural understanding.