traiNNertraiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
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Mutual labels: upscale, esrgan
ESRGAN-tensorflowEnhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution
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Mutual labels: esrgan
Quake2Quake 2 modification with new renderer and many other unique features.
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Mutual labels: quake2
RFB ESRGAN-PyTorchSimple realization of papers in oppo Research Institute super score competition.
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Mutual labels: esrgan
john-carmack-planAn archive of John Carmack’s .plan files in readable markdown format
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Mutual labels: quake2
jake2Quake 2 java port
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Mutual labels: quake2
DeepDreamGenerative deep learning: DeepDream
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Mutual labels: upscale
pyanime4kAn easy way to use anime4k in python
Stars: ✭ 80 (+81.82%)
Mutual labels: upscale
go-quake2Quake 2 Level Renderer written in Go and OpenGL
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Mutual labels: quake2
BasicsrOpen Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.
Stars: ✭ 2,708 (+6054.55%)
Mutual labels: esrgan
Waifu2x Extension GuiVideo, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, SRMD, RealSR, Anime4K, RIFE, CAIN, DAIN, and ACNet.
Stars: ✭ 5,463 (+12315.91%)
Mutual labels: esrgan
EsrganECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Stars: ✭ 3,870 (+8695.45%)
Mutual labels: esrgan
VSGANVapourSynth Single Image Super-Resolution Generative Adversarial Network (GAN)
Stars: ✭ 124 (+181.82%)
Mutual labels: esrgan
Real-ESRGAN-colabA Real-ESRGAN model trained on a custom dataset
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Mutual labels: esrgan
AutoCrispyAutomatically apply AI Upscaling on Dumped Textures
Stars: ✭ 74 (+68.18%)
Mutual labels: esrgan