Image-Super-Resolution-via-Iterative-Refinement
DDPM_inversion
| Image-Super-Resolution-via-Iterative-Refinement | DDPM_inversion | |
|---|---|---|
| 5 | 1 | |
| 3,377 | 185 | |
| - | - | |
| 0.0 | 5.6 | |
| 6 months ago | 2 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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Image-Super-Resolution-via-Iterative-Refinement
- I know nothing about coding - could someone help me get something running?
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New Super Resolution method
Github link
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Google’s New AI Photo Upscaling Tech Is Jaw-Dropping
Here's an unofficial copy of the code: https://github.com/Janspiry/Image-Super-Resolution-via-Itera...
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SR3: Iterative Image Enhancement
https://github.com/Janspiry/Image-Super-Resolution-via-Itera...
Imagine a game using this tech, you could render a game in a lower resolution and possible get a better looking game. But then again they aren't yet dealing with temporal data.
In the previous discussion https://news.ycombinator.com/item?id=27858893 they mentioned that it was only class conditional but it also seems to work on unconditional data.
- I have super limited coding experience but have a question about this github link.
DDPM_inversion
What are some alternatives?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
minimal-text-diffusion - A minimal implementation of diffusion models for text generation
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
DenoisingDiffusionProbabilityModel-ddpm- - This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.
Image-Super-Resolution-via-Itera
DiffSBDD - A Euclidean diffusion model for structure-based drug design.
EGVSR - Efficient & Generic Video Super-Resolution
Stable-Diffusion-Latent-Space-Explorer - Codebase for performing various experiments with Stable Diffusion, supported by the diffusers library.
PaddleGAN - PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.
video-diffusion-pytorch - Implementation of Video Diffusion Models, Jonathan Ho's new paper extending DDPMs to Video Generation - in Pytorch
Real-ESRGAN - PyTorch implementation of Real-ESRGAN model
const_layout - Official implementation of the MM'21 paper "Constrained Graphic Layout Generation via Latent Optimization" (LayoutGAN++, CLG-LO, and Layout evaluation)