4xBHI Realplksr Dysample Real

--- 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/4xbhi_realplksr) 4xBHI_realplksr_dysample_real Scale: 4x Network type: RealPLKSR Author: Philip Hofmann License: CC-BY-4.0 Purpose: 4x upscaling images, handling some blur, some noise, and compression Pretrained Model: 4xNomos2_realplksr_dysample Training iterations: 380000 Description: 4x realplksr dysample model to upscale images, trained on the BHI dataset. This is with a created LR set where I used wtp_destroyer to add blur (50% chance), my ludvae200 model to add noise (50% chance), and then wtp to add compression, scaling, recompression (50% chance), scaling.

Source context: 0 downloads · 5 likes · Pipeline image-to-image · Repo Phips/4xBHI_realplksr_dysample_real

Source context: 0 downloads · 4 likes · Pipeline image-to-image · Repo Phips/4xBHI_realplksr_dysample_real