# UT-Austin-RPL/GIGA

<https://repo.masters-masters.com/en/repos/UT-Austin-RPL/GIGA>

[Home](https://repo.masters-masters.com/en) › [UT-Austin-RPL](https://repo.masters-masters.com/en/owners/UT-Austin-RPL) › [GIGA](https://repo.masters-masters.com/en/repos/UT-Austin-RPL/GIGA)

UT-Austin-RPL/GIGA has 161 stars on GitHub. Its RepoMasters card: Prototype tier. Official PyTorch implementation of Synergies Between Affordance and…

| Field | Value |
| --- | --- |
| Owner | [UT-Austin-RPL](https://repo.masters-masters.com/en/owners/UT-Austin-RPL) |
| Stars | 161 |
| Forks | 32 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | robot-manipulation, grasping, robot-learning, robotics, affordance, 3d-reconstruction |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [UT-Austin-RPL/GIGA](https://github.com/UT-Austin-RPL/GIGA) |

## Repository

Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

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.