# mks0601/I2L-MeshNet\_RELEASE

<https://repo.masters-masters.com/en/repos/mks0601/I2L-MeshNet_RELEASE>

[Home](https://repo.masters-masters.com/en) › [mks0601](https://repo.masters-masters.com/en/owners/mks0601) › [I2L-MeshNet\_RELEASE](https://repo.masters-masters.com/en/repos/mks0601/I2L-MeshNet_RELEASE)

mks0601/I2L-MeshNet\_RELEASE has 736 stars on GitHub. Its RepoMasters card: Beta tier. Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel…

| Field | Value |
| --- | --- |
| Owner | [mks0601](https://repo.masters-masters.com/en/owners/mks0601) |
| Stars | 736 |
| Forks | 126 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [mks0601/I2L-MeshNet\_RELEASE](https://github.com/mks0601/I2L-MeshNet_RELEASE) |

## Repository

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

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

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