Update README.md

README.md

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-license: cc-by-4.0
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+---
+license: cc-by-4.0
+pipeline_tag: image-to-image
+tags:
+- pytorch
+- super-resolution
+---
+
+[Link to Github Release]()
+
+# 4xNomos2_hq_atd
+Scale: 4  
+Architecture: [ATD](https://github.com/LabShuHangGU/Adaptive-Token-Dictionary)  
+Architecture Option: [atd](https://github.com/muslll/neosr/blob/dc4e3742132bae2c2aa8e8d16de3a9fcec6b1a74/neosr/archs/atd_arch.py#L891)  
+
+Author: Philip Hofmann  
+License: CC-BY-0.4  
+Purpose: Upscaler  
+Subject: Photography  
+Input Type: Images  
+Release Date: 05.09.2024  
+
+Dataset: [nomosv2](https://github.com/muslll/neosr/?tab=readme-ov-file#-datasets)  
+Dataset Size: 6000  
+OTF (on the fly augmentations): No  
+Pretrained Model: 003_ATD_SRx4_finetune  
+Iterations: 180'000  
+Batch Size: 2  
+Patch Size: 48  
+Norm: true  
+
+Description:   
+An atd 4x upscaling model, similiar to the [4xNomos2_hq_dat2](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_dat2) or [4xNomos2_hq_mosr](https://github.com/Phhofm/models/releases/tag/4xNomos2_hq_mosr) models, trained and for usage on non-degraded input to give good quality output. 
+
+Training checkpoints metric scoring on val images  
+![image](https://github.com/user-attachments/assets/2ae3b750-adbd-4ceb-8ff3-cafee2ee97d1)  
+
+Showcase of the top 3 checkpoints from this model training, where 180k has been selected as the main release model: https://slow.pics/c/ZEnoG0Ou  
+I added the other checkpoints (135k and 205k) as additional model files in the assets of this release.  
+
+## Model Showcase:
+[Slowpics](https://slow.pics/c/ttYvxmJq)
+
+(Click on image for better view)
+![Example1](https://github.com/user-attachments/assets/b4ec00fb-464c-4039-b50f-656c8a49a2b4)
+![Example2](https://github.com/user-attachments/assets/3cd16733-f14d-424a-94e5-ef812aa9a1dd)
+![Example3](https://github.com/user-attachments/assets/4d19f3e5-5844-437f-9805-9a1eb50d79db)
+![Example4](https://github.com/user-attachments/assets/c7246289-faed-4f26-a987-da1f88eb6f33)
+![Example5](https://github.com/user-attachments/assets/09286ce5-6f64-467a-a9db-a6ddbc803b32)