# Correr-Zhou/HiFi-Inpaint

<https://repo.masters-masters.com/en/repos/Correr-Zhou/HiFi-Inpaint>

[Home](https://repo.masters-masters.com/en) › [Correr-Zhou](https://repo.masters-masters.com/en/owners/Correr-Zhou) › [HiFi-Inpaint](https://repo.masters-masters.com/en/repos/Correr-Zhou/HiFi-Inpaint)

Correr-Zhou/HiFi-Inpaint has 113 stars on GitHub. Its RepoMasters card: Prototype tier. \[CVPR 2026\] Offical implementation of the paper "HiFi-Inpaint: Towards…

| Field | Value |
| --- | --- |
| Owner | [Correr-Zhou](https://repo.masters-masters.com/en/owners/Correr-Zhou) |
| Stars | 113 |
| Forks | 5 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2026 |
| Topics | computer-vision, cvpr2026, deep-learning, diffusion-models, generative-ai, image-generation, image-inpainting |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Correr-Zhou/HiFi-Inpaint](https://github.com/Correr-Zhou/HiFi-Inpaint) |

## Repository

\[CVPR 2026\] Offical implementation of the paper "HiFi-Inpaint: Towards High-Fidelity Reference-Based Inpainting for Generating Detail-Preserving Human-Product Images".

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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