Recent advances on Image Composition.

• Li Niu. Making Images Real Again: A Comprehensive Survey on Deep Image Composition. CVPR.

• Awesome Generative Image Composition [GitHub]
• Paint by Example: Exemplar-based Image Editing with Diffusion Models [arXiv][code]
• ObjectStitch: Generative Object Compositing [arXiv]
• AnyDoor: Zero-shot Object-level Image Customization [arXiv][code][demo]
• Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model [arXiv]
• DreamEdit: Subject-driven Image Editing [arXiv][code]

• Yizhi Song. ObjectStitch: Object Compositing with Diffusion Model. CVPR.
• Sijie Zhu. TopNet: Transformer-based Object Placement Network for Image Compositing. CVPR.
• Xinyang Zhang. Text2Layer: Layered Image Generation using Latent Diffusion Model.

• Su Xue. Understanding and Improving the Realism of Image Composites. ACM Transactions on Graphics.
• Jiaya Jia. Drag-and-Drop Pasting. ACM Transactions on Graphics.
• Zicheng Liao. An Approximate Shading Model for Object Relighting. CVPR.

• Xiang Li. Image Composition Method Based on a Spatial Position Analysis Network. MDPI.
• bcmi. Awesome Image Composition. GitHub.