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Since no official HMA model releases exist yet, I am releasing my hma and hmamedium mssim pretrains. These can be used to speed up and stabilize early training stages when training new hma models. Trained with mssim...
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Since no official model releases exist yet, I am releasing my and mssim pretrains. These can be used to speed up and stabilize early training stages when training new hma models. Trained with mssim on .
Fuentes
1 fuenteVerificado 8 ago
Artefactos del modelo
2 artefactosExtractos de fuentes
2 extractosAuthor: Philip Hofmann
License: CC-BY-0.4
Purpose: Pretrained
Subject: Photography
Input Type: Images
Release Date: 19.07.2024
Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: None (=From Scratch)
Iterations: 205'000
Batch Size: 4
Patch Size: 96
Description: A pretrain to start hma model training.
Scale: 4
Architecture: HMA
Architecture Option: hma_medium
Author: Philip Hofmann
License: CC-BY-0.4
Purpose: Pretrained
Subject: Photography
Input Type: Images
Release Date: 19.07.2024
Dataset: nomosv2
Dataset Size: 6000
OTF (on the fly augmentations): No
Pretrained Model: None (=From Scratch)
Iterations: 150'000
Batch Size: 4
Patch Size: 48
Description: A pretrain to start hma_medium model training.
Showcase:
Example1
Example2
Example3
Example4
--- license: cc-by-4.0 pipeline_tag: image-to-image tags: - pytorch - super-resolution - pretrain --- [Github Link](https://github.com/Phhofm/models/releases/tag/4xmssim_hma_pretrains) Since no official [HMA](https://github.com/korouuuuu/HMA) model releases exist yet, I am releasing my [hma](https://github.com/muslll/neosr/blob/a50b56de418c938425fd3606697f62d61dbddfc3/neosr/archs/hma_arch.py#L1148) and [hma_medium](https://github.com/muslll/neosr/blob/a50b56de418c938425fd3606697f62d61dbddfc3/neosr/archs/hma_arch.py#L1386) mssim pretrains. These can be used to speed up and stabilize early training stages when training new hma models. Trained with mssim on [nomosv2](https://github.com/muslll/neosr/tree/a50b56de418c938425fd3606697f62d61dbddfc3?tab=readme-ov-file#-datasets). ## 4xmssim_hma_pretrain **Scale:** 4 **Architecture:** [HMA](https://github.com/korouuuuu/HMA) **Architecture Option:** [hma](https://github.com/muslll/neosr/blob/a50b56de418c938425fd3606697f62d61dbddfc3/neosr/archs/hma_arch.py#L1148) **Author:** Philip Hofmann **License:** CC-BY-0.4 **Purpose:** Pretrained **Subject:** Photography **Input Type:** Images **Release Date:** 19.07.2024 **Dataset:** [nomosv2](https://github.com/muslll/neosr/tree/a50b56de418c938425fd3606697f62d61dbddfc3?tab=readme-ov-file#-datasets) **Dataset Size:** 6000 **OTF (on the fly augmentations):** No **Pretrained Model:** None (=From Scratch) **Iterations:** 205'000 **Batch Size:** 4 **Patch Size:** 96 **Description:** A pretrain to start hma model training. --- ## 4xmssim_hma_medium_pretrain **Scale:** 4 **Architecture:** [HMA](https://github.com/korouuuuu/HMA) **Architecture Option:** [hma_medium](https://github.com/muslll/neosr/blob/a50b56de418c938425fd3606697f62d61dbddfc3/neosr/archs/hma_arch.py#L1386) **Author:** Philip Hofmann **License:** CC-BY-0.4 **Purpose:** Pretrained **Subject:** Photography **Input Type:** Images **Release Date:** 19.07.2024 **Dataset:** [nomosv2](https://github.com/muslll/neosr/tree/a50b56de418c938425fd3606697f62d61dbddfc3?tab=readme-ov-file#-datasets) **Dataset Size:** 6000 **OTF (on the fly augmentations):** No **Pretrained Model:** None (=From Scratch) **Iterations:** 150'000 **Batch Size:** 4 **Patch Size:** 48 **Description:** A pretrain to start hma_medium model training. --- **Showcase:** [slow.pics](https://slow.pics/c/Eoq18VDx) 