Awesome

Awesome Object Reflection Generation

A curated list of resources including papers, datasets, and relevant links pertaining to object reflection generation, which aims to generate plausible reflection for the inserted foreground object in a composite image. For more complete resources on general image composition, please refer to Awesome-Image-Composition.

Contributing

Contributions are welcome. If you wish to contribute, feel free to send a pull request. If you have suggestions for new sections to be included, please raise an issue and discuss before sending a pull request.

Papers

• Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, Yedid Hoshen: "ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion." ECCV (2024) [pdf]
• Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang, Jianming Zhang, Yizhi Song, Dan Ruta, Andrew Gilbert, John Collomosse, Soo Ye Kim："Thinking Outside the BBox: Unconstrained Generative Object Compositing." ECCV (2024) [pdf]
• Shengjie Ma, Qian Shen, Qiming Hou, Zhong Ren, Kun Zhou: "Neural Compositing for Real-time Augmented Reality Rendering in Low-frequency Lighting Environments." Science China Information Sciences (2021) [pdf]