2xHFA2kAVCSRFormer Light

--- 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/2xHFA2kAVCSRFormer_light) # 2xHFA2kAVCSRFormer_light Name: 2xHFA2kAVCSRFormer_light Author: Philip Hofmann Release Date: 11.07.2023 License: CC BY 4.0 Network: SRFormer_light Scale: 2 Purpose: 2x anime upscaling model that handles AVC (h264) compression Iterations: 140000 batch_size: 2-4 HR_size: 128-192 Dataset: HFA2k_h264 Number of train images: 2568 OTF Training: No Pretrained_Model_G: SRFormerLight_SRx2_DIV2K.pth Description: 2x SRFormer_light anime upscale model that handles AVC (h264) compression since h264 crf 20-28 degradation together with bicubic, bilinear, box and lanczos downsampling has been applied on musl's HFA2k dataset with Kim's dataset destroyer for training. If you want to run this model with chaiNNer (or another application) you need to use the onnx files with an onnx upscale node. All onnx conversions can be found in the [onnx folder](https://github.com/Phhofm/models/tree/main/2xHFA2kAVCSRFormer_light/onnx) on my repo. Example 1: https://imgsli.com/MTkxMTQz Example 2: https://imgsli.com/MTkxMTQ0  

Source context: 0 downloads · 0 likes · Pipeline image-to-image · Repo Phips/2xHFA2kAVCSRFormer_light