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4xTextures_GTAV_rgt-s

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super-resolution
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4xTextures_GTAV_rgt-s
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---
license: cc-by-4.0
pipeline_tag: image-to-image
tags:
- pytorch
- super-resolution
---

[Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xTextures_GTAV_rgt-s)  


## 4xTextures_GTAV_rgt-s

**Scale:** 4  
**Architecture:** [RGT](https://github.com/zhengchen1999/RGT)  
**Architecture Option:** RGT-S  

**Author:** Philip Hofmann  
**License:** CC-BY-0.4  
**Purpose:** Restoration  
**Subject:** Game Textures  
**Input Type:** Images  
**Release Date:** 04.05.2024  

**Dataset:** [GTAV_512_Textures](https://discord.com/channels/547949405949657098/905446120333930566/1132367991808466975)  
**Dataset Size:** 8492  
**OTF (on the fly augmentations):** No  
**Pretrained Model:** RGT_S_x4  
**Iterations:** 165'000  
**Batch Size:** 6,4  
**GT Size:** 128,256  

**Description:** A model to upscale game textures, trained on GTAV Textures, handles jpg compression down to 80.  

**Showcase:**  
[Slow Pics](https://slow.pics/s/GqXdJ6Pd)  

![Example 1](https://github.com/Phhofm/models/assets/14755670/ae29a6f0-8888-4421-904b-be5c2e2c82d8)
![Example 2](https://github.com/Phhofm/models/assets/14755670/d015eb5c-f970-44dc-92f6-151abb3ab930)
![Example 3](https://github.com/Phhofm/models/assets/14755670/5fddf433-e683-47dd-ae2b-8f894cf342e5)
![Example 4](https://github.com/Phhofm/models/assets/14755670/b7389049-0b61-408c-8da4-8aa6bb97e248)
![Example 5](https://github.com/Phhofm/models/assets/14755670/65249682-9d1c-4b26-b890-98bb2ab8e61a)
![Example 6](https://github.com/Phhofm/models/assets/14755670/369ca9dc-cf40-443a-b60b-4ffc9b82f3f3)
![Example 7](https://github.com/Phhofm/models/assets/14755670/6c8d860a-36ea-4d9b-a15b-aab0077509aa)
![Example 8](https://github.com/Phhofm/models/assets/14755670/292aa47c-3023-474a-987b-41f53421831a)
![Example 9](https://github.com/Phhofm/models/assets/14755670/2d227546-f18c-4c4c-a6d8-cbef2be1a347)
![Example 10](https://github.com/Phhofm/models/assets/14755670/5f43ceb4-a695-49ed-ae57-605d174d7aaa)
![Example 11](https://github.com/Phhofm/models/assets/14755670/b9534cd2-8b2d-4ba2-9d3b-9d034f8ebb8a)
![Example 12](https://github.com/Phhofm/models/assets/14755670/92b9ef14-1209-4243-9c3a-54288bd9fe55)
![Example 13](https://github.com/Phhofm/models/assets/14755670/6c6f5b06-922f-44d5-b461-aa059bc6d393)
![Example 14](https://github.com/Phhofm/models/assets/14755670/27e773cc-128c-4a39-ad45-0f1a99e8ed48)
![Example 15](https://github.com/Phhofm/models/assets/14755670/cd187403-b7d8-498e-8757-66b17d301107)
![Example 16](https://github.com/Phhofm/models/assets/14755670/a1c47cbd-8be2-4b75-bd30-c1ca8ebc85e1)
![Example 17](https://github.com/Phhofm/models/assets/14755670/65de3fd0-8d86-4e74-b05a-116929c96377)
![Example 18](https://github.com/Phhofm/models/assets/14755670/864e4062-14dc-447b-a81b-ec8b644f7bb7)
![Example 19](https://github.com/Phhofm/models/assets/14755670/94bdfe33-980a-4149-abc5-fde721acef10)
![Example 20](https://github.com/Phhofm/models/assets/14755670/13de0081-cf88-464c-b1ba-93b61b590828)