# bcmi/Image-Harmonization-Dataset-iHarmony4

<https://repo.masters-masters.com/en/repos/bcmi/Image-Harmonization-Dataset-iHarmony4>

[Home](https://repo.masters-masters.com/en) › [bcmi](https://repo.masters-masters.com/en/owners/bcmi) › [Image-Harmonization-Dataset-iHarmony4](https://repo.masters-masters.com/en/repos/bcmi/Image-Harmonization-Dataset-iHarmony4)

bcmi/Image-Harmonization-Dataset-iHarmony4 has 812 stars on GitHub. Its RepoMasters card: Beta tier. \[CVPR 2020\] The first large-scale public benchmark…

| Field | Value |
| --- | --- |
| Owner | [bcmi](https://repo.masters-masters.com/en/owners/bcmi) |
| Stars | 812 |
| Forks | 96 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | MIT |
| Created | 2019 |
| Topics | image-harmonization, image-harmonization-dataset, deep-image-harmonization, composite-images, image-composition, domain-verification, domain-translation, deep-image-composition |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [bcmi/Image-Harmonization-Dataset-iHarmony4](https://github.com/bcmi/Image-Harmonization-Dataset-iHarmony4) |

## Repository

\[CVPR 2020\] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

## More repos by bcmi

- [bcmi/Awesome-Image-Composition · ★ 1,124 · Beta](https://repo.masters-masters.com/en/repos/bcmi/Awesome-Image-Composition)
- [bcmi/libcom · ★ 793 · Python · Beta](https://repo.masters-masters.com/en/repos/bcmi/libcom)
- [bcmi/Awesome-Object-Insertion · ★ 542 · Alpha](https://repo.masters-masters.com/en/repos/bcmi/Awesome-Object-Insertion)
- [bcmi/Awesome-Image-Harmonization · ★ 535 · Alpha](https://repo.masters-masters.com/en/repos/bcmi/Awesome-Image-Harmonization)
- [bcmi/Light-A-Video · ★ 528 · Python · Alpha](https://repo.masters-masters.com/en/repos/bcmi/Light-A-Video)
- [bcmi/DCI-VTON-Virtual-Try-On · ★ 507 · Python · Alpha](https://repo.masters-masters.com/en/repos/bcmi/DCI-VTON-Virtual-Try-On)

## Nearby in MATLAB

- [pdollar/edges · ★ 837 · MATLAB · Beta](https://repo.masters-masters.com/en/repos/pdollar/edges)
- [schneems/Octave · ★ 830 · MATLAB · Beta](https://repo.masters-masters.com/en/repos/schneems/Octave)
- [CERN/TIGRE · ★ 818 · MATLAB · Beta](https://repo.masters-masters.com/en/repos/CERN/TIGRE)
- [sccn/eeglab · ★ 810 · MATLAB · Beta](https://repo.masters-masters.com/en/repos/sccn/eeglab)
- [vkosuri/CourseraMachineLearning · ★ 797 · MATLAB · Beta](https://repo.masters-masters.com/en/repos/vkosuri/CourseraMachineLearning)
- [shenshikexmu/IMUCalibration-Gesture · ★ 792 · MATLAB · Beta](https://repo.masters-masters.com/en/repos/shenshikexmu/IMUCalibration-Gesture)

---
Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.