Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
🚀 Long time no see ☄️
✨ Highlights
✅ add realesr-general-x4v3 and realesr-general-wdn-x4v3. They are very tiny models for general scenes, and they may more robust. But as they are tiny models, their performance may be limited. ✅ support denoise strength for realesr-general-x4v3. You can use the -dn option to adjust the denising strength. Denoise strength. 0 for weak denoise (keep noise), 1 for strong denoise ability. Only used for the realesr-general-x4v3 model. ✅ update inference_video: support auto download. You do not need to download models explicitly. If the models are not download, they will be downloaded automatically.
✅ support ffmpeg stream for inference_realesrgan_video ✅ fix colorspace bug & support multi-gpu and multi-processing ✅ Added GPU selection feature to python inference ✅ deal with flv format
📢📢📢
https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-x4v3.pth
https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.5.0/realesr-general-wdn-x4v3.pth
The major update: 🎉
✅ We update the RealESRGAN AnimeVideo-v3 model, which can achieve better results with a faster inference speed. The improvements are:
You can find more details in anime video models and comparisons.
The models can be downloaded from realesr-animevideov3.
✅ We also update the ncnn. Portable Windows / Linux / MacOS executable files for Intel/AMD/Nvidia GPU.
Long long time no see😺
We have added small models for anime videos: 🎉
You can find demos and usages in https://github.com/xinntao/Real-ESRGAN/blob/master/docs/anime_video_model.md
:white_check_mark: We add small models that are optimized for anime videos :-)
Now we have added two models.
Models | Scale | Description |
---|---|---|
RealESRGANv2-animevideo-xsx2 | X2 | Anime video model with XS size |
RealESRGANv2-animevideo-xsx4 | X4 | Anime video model with XS size |
This release also contains the following files:
See you again 😺
The major update: :tada:
Other updates:
This release also contains the following files:
finetune_realesrgan_x4plus.yml
generate_multiscale_DF2K.py
generate_meta_info.py
File list:
RealESRGAN_x4plus_netD.pth
RealESRGAN_x2plus_netD.pth
--outscale
File list:
RealESRGAN_x2plus.pth
This release is mainly for updating realesrgan-ncnn-vulkan
executable files.
We have added Linux/MacOS executable files
We add back the tta
option
We add the function: when the destination folder does not exist, create it!
File list:
realesrgan-ncnn-vulkan-20210801-windows.zip
realesrgan-ncnn-vulkan-20210801-macos.zip
realesrgan-ncnn-vulkan-20210801-ubuntu.zip
This release is mainly for storing pre-trained models and executable files.
RealESRGAN-ncnn-vulkan-20210725-windows.zip
RealESRNet_x4plus.pth
ESRGAN_SRx4_DF2KOST_official-ff704c30.pth
Note that: RealESRGAN_x4plus.pth
can be found in https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth
This release is mainly for storing pre-trained models and executable files.