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https://github.com/bcmi/Awesome-Object-Reflection-Generation

A curated list of papers, code, and resources pertaining to object reflection generation.
https://github.com/bcmi/Awesome-Object-Reflection-Generation

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A curated list of papers, code, and resources pertaining to object reflection generation.

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# Awesome Object Reflection Generation [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

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 ([object insertion](https://github.com/bcmi/Awesome-Object-Insertion)), please refer to [Awesome-Image-Composition](https://github.com/bcmi/Awesome-Object-Insertion).

## 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.

## Table of Contents
+ [Papers](#Papers)
+ [Datasets](#Datasets)
+ [Other Resources](#Other-resources)

## Papers
+ Ankit Dhiman, Manan Shah, R Venkatesh Babu: "*MirrorVerse: Pushing Diffusion Models to Realistically Reflect the World.*" CVPR (2025) [[paper]](https://openaccess.thecvf.com/content/CVPR2025/papers/Dhiman_MirrorVerse_Pushing_Diffusion_Models_to_Realistically_Reflect_the_World_CVPR_2025_paper.pdf) [[code]](https://github.com/val-iisc/MirrorVerse)
+ Ankit Dhiman, Manan Shah, Rishubh Parihar, Yash Bhalgat, Lokesh R Boregowda, R Venkatesh Babu: "*Reflecting Reality: Enabling Diffusion Models to Produce Faithful Mirror Reflections.*" 3DV (2025) [[arXiv]](https://arxiv.org/pdf/2409.14677) [[code]](https://github.com/val-iisc/Reflecting-Reality)
+ 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]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/09857.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]](https://www.ecva.net/papers/eccv_2024/papers_ECCV/papers/07965.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]](http://kunzhou.net/2021/NeuralComposite.pdf)

## Datasets

+ **DEROBA**: [[link]](https://github.com/bcmi/Object-Reflection-Generation-Dataset-DEROBA)
+ **SynMirror**: [[link]](https://val.cds.iisc.ac.in/reflecting-reality.github.io/)

## Other Resources

+ [Awesome-Image-Composition](https://github.com/bcmi/Awesome-Object-Insertion)