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https://github.com/bcmi/Awesome-Image-Composition

A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.
https://github.com/bcmi/Awesome-Image-Composition

List: Awesome-Image-Composition

image-blending image-compositing image-composition image-harmonization object-insertion object-placement shadow-generation

Last synced: 2 months ago
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A curated list of papers, code and resources pertaining to image composition/compositing or object insertion, which aims to generate realistic composite image.

Host: GitHub
URL: https://github.com/bcmi/Awesome-Image-Composition
Owner: bcmi
Created: 2021-06-07T13:57:51.000Z (about 3 years ago)
Default Branch: main
Last Pushed: 2024-04-04T06:48:51.000Z (3 months ago)
Last Synced: 2024-04-19T20:45:21.774Z (2 months ago)
Topics: image-blending, image-compositing, image-composition, image-harmonization, object-insertion, object-placement, shadow-generation
Homepage:
Size: 93.8 KB
Stars: 587
Watchers: 30
Forks: 35
Open Issues: 0
Metadata Files:
- Readme: README.md

Lists

Awesome-Generative-Image-Composition - Awesome-Image-Composition
Awesome-Object-Shadow-Generation - Awesome-Image-Composition
Awesome-Object-Shadow-Generation - Awesome-Image-Composition
Awesome-Foreground-Object-Search - Awesome-Image-Composition
Awesome-Object-Placement - Awesome-Image-Composition
Awesome-Image-Harmonization - Awesome-Image-Composition
Awesome-Generative-Image-Composition?tab=readme-ov-file - Awesome-Image-Composition

README

        # Awesome Image Composition  ![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)

A curated list of resources including papers, datasets, and relevant links pertaining to image composition (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

+ [Online Demo](#Online-demo)

+ [Surveys](#Surveys)

+ [Papers](#Papers)

+ [Datasets](#Datasets)

## Online Demo

Try this [online demo](https://bcmi.sjtu.edu.cn/home/niuli/demo_image_composition/) for image composition and have fun! ![hot](https://bcmi.sjtu.edu.cn/~niuli/images/fire.png)

## Surveys

+ Li Niu, Wenyan Cong, Liu Liu, Yan Hong, Bo Zhang, Jing Liang, Liqing Zhang: "*Making Images Real Again: A Comprehensive Survey on Deep Image Composition.*" arXiv preprint arXiv:2106.14490 (2021). [[arXiv]](https://arxiv.org/pdf/2106.14490.pdf)

## Papers

#### 1. Image Blending

     [Awesome-Image-Blending](https://github.com/bcmi/Awesome-Image-Blending)

#### 2. Image Harmonization

     [Awesome-Image-Harmonization](https://github.com/bcmi/Awesome-Image-Harmonization)

 

#### 3. Object Shadow Generation

     [Awesome-Object-Shadow-Generation](https://github.com/bcmi/Awesome-Object-Shadow-Generation)

  

#### 4. Object Reflection Generation

+  Daniel Winter, Matan Cohen, Shlomi Fruchter, Yael Pritch, Alex Rav-Acha, Yedid Hoshen: "*ObjectDrop: Bootstrapping Counterfactuals for Photorealistic Object Removal and Insertion.*" arXiv preprint arXiv:2403.18818 (2024) [[arXiv]](https://arxiv.org/pdf/2403.18818.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)

#### 5. Object Placement 

     [Awesome-Object-Placement](https://github.com/bcmi/Awesome-Object-Placement)

#### 6. Occlusion

+ Jonghyun Lee, Hansam Cho, Youngjoon Yoo, Seoung Bum Kim, Yonghyun Jeong: "*Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis.*" arXiv preprint arXiv:2401.09048 (2024) [[pdf]](https://arxiv.org/html/2401.09048v1)

+ Zan Li, Wencheng Wang, Fei Hou: "*Image Composition with Depth Registration.*" IJCAI (2023) [[paper]](https://www.ijcai.org/proceedings/2023/0126.pdf)

+ Fangneng Zhan, Jiaxing Huang, Shijian Lu: "*Hierarchy Composition GAN for High-fidelity Image Synthesis.*" Transactions on cybernetics (2021) [[arXiv]](https://arxiv.org/pdf/1905.04693.pdf)

+ Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell: "*Compositional GAN: Learning Image-Conditional Binary Composition.*" IJCV (2020) [[arXiv]](https://arxiv.org/pdf/1807.07560.pdf) [[code]](https://github.com/azadis/CompositionalGAN)

#### 7. Resolution/Sharpness/Noise Discrepancy

+ Jizhizi Li, Jing Zhang, Stephen J.Maybank, Dacheng Tao: "*Bridging Composite and Real: Towards End-to-End Deep Image Matting.*" IJCV (2021) [[pdf]](https://link.springer.com/content/pdf/10.1007/s11263-021-01541-0.pdf) [[code]](https://github.com/JizhiziLi/GFM)

#### 8. Foreground Object Search

     [Awesome-Foreground-Object-Search](https://github.com/bcmi/Awesome-Foreground-Object-Search)

#### 9. Generative Image Composition

     [Awesome-Generative-Image-Composition](https://github.com/bcmi/Awesome-Generative-Image-Composition) 

## Datasets

+ Datasets for image harmonization [[link]](https://github.com/bcmi/Awesome-Image-Harmonization#Datasets)

+ Datasets for object shadow generation [[link]](https://github.com/bcmi/Awesome-Object-Shadow-Generation#Datasets)

+ Datasets for object placement [[link]](https://github.com/bcmi/Awesome-Object-Placement#Datasets)

+ Datasets for foreground object search [[link]](https://github.com/bcmi/Awesome-Foreground-Object-Search/tree/main#Datasets)

+ Datasets for spatial transformation [[link]](https://github.com/bcmi/Accessory-Try-On-Dataset-STRAT)

+ Datasets for generative image composition [[link]](https://github.com/bcmi/Awesome-Generative-Image-Composition?tab=readme-ov-file#Test-set)

## Evaluation

+ [Composite-Image-Evaluation](https://github.com/bcmi/Composite-Image-Evaluation)