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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...
Modellquelle
Quellenbeschreibung
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 .
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1 QuelleVerifiziert 8. Aug.
Modellartefakte
2 ArtefakteQuellenauszüge
2 AuszügeAuthor: 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) 