4xmssim Realplksr Dysample Pretrain
Scale: 4 Architecture: RealPLKSR with Dysample Architecture Option: realplksr
Fonte do modelo
- Tipo
- Other
- Tamanho do arquivo
- 28,3 MB
- Versão
- vVersion 1
- Atualizado
- 14 de set. de 2026
- Fonte
- Hugging Face
Descrição da fonte
4xmssim_realplksr_dysample_pretrain
Scale: 4
Architecture: RealPLKSR with Dysample
Architecture Option: realplksr
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Pretrained
Subject: Photography
Input Type: Images
Release Date: 27.06.2024
Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: None (=From Scratch)
Iterations: 200'000
Batch Size: 8
GT Size: 192, 512
Description: Dysample had been recently added to RealPLKSR, which from what I had seen can resolve or help avoid the checkerboard / grid pattern on inference outputs. So with the commits from three days ago, the 24.06.24, on neosr, I wanted to create a 4x photo pretrain I can then use to train more realplksr models with dysample specifically to stabilize training at the beginning.
Example1 Example2 Example3 Example4 Example5 Example6 Example7 Example8 Example9 Example10 Example11
Fontes
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Artefatos de modelo
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Artefatos de modelo
2 artefatosTrechos de fonte
2 trechos
Trechos de fonte
2 trechos--- license: cc-by-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution - pretrain --- [Link to Github Release](https://github.com/Phhofm/models/releases/tag/4xmssim_realplksr_dysample_pretrain) # 4xmssim_realplksr_dysample_pretrain Scale: 4 Architecture: [RealPLKSR with Dysample](https://github.com/muslll/neosr/?tab=readme-ov-file#supported-archs) Architecture Option: [realplksr](https://github.com/muslll/neosr/blob/master/neosr/archs/realplksr_arch.py) Author: Philip Hofmann License: CC-BY-0.4 Purpose: Pretrained Subject: Photography Input Type: Images Release Date: 27.06.2024 Dataset: [nomosv2](https://github.com/muslll/neosr/?tab=readme-ov-file#-datasets) Dataset Size: 6000 OTF (on the fly augmentations): No Pretrained Model: None (=From Scratch) Iterations: 200'000 Batch Size: 8 GT Size: 192, 512 Description: [Dysample](https://arxiv.org/pdf/2308.15085) had been recently added to RealPLKSR, which from what I had seen can resolve or help avoid the checkerboard / grid pattern on inference outputs. So with the [commits from three days ago, the 24.06.24, on neosr](https://github.com/muslll/neosr/commits/master/?since=2024-06-24&until=2024-06-24), I wanted to create a 4x photo pretrain I can then use to train more realplksr models with dysample specifically to stabilize training at the beginning. Showcase: [Imgsli](https://imgsli.com/Mjc0OTA1) [Slowpics](https://slow.pics/c/I9grkcqM)          