Material-Map-Generator
Real-ESRGAN
| Material-Map-Generator | Real-ESRGAN | |
|---|---|---|
| 3 | 131 | |
| 268 | 26,293 | |
| - | - | |
| 4.0 | 2.7 | |
| 10 months ago | about 1 month ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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Material-Map-Generator
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What do you folks think about using AI to generate normal/roughness/disp maps?
I've recently stumbled upon Joey Ballentine's Material-Map-Generator which does produce surprisingly good results.
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With StableDiffusion I generated 1000 wall seamless textures 2k resolution with 2k normals + displacement maps, and that's the full guide of how I did it
THIS seems particularly interesting - it's batch CLI, but also based on a GAN model running in Python, which means it could potentially get integrated end-to-end into a web UI for texturing workflows.
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AI Seamless Texture Generator Built-In to Blender
I saw you were working on adding displacement and material maps to it, you may want to look into this instead of trying to re-train the model. https://github.com/JoeyBallentine/Material-Map-Generator
Real-ESRGAN
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AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video
It's not exactly what you're after, as it's anime specific and you need to process the video yourself (eg disassemble to frames, run the upscaler, then assemble back to a movie file), but Real-ESRGAN is really good:
https://github.com/xinntao/Real-ESRGAN/
It's pretty brilliant for cleaning up very old, low resolution anime.
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Photorealistic Video Generation with Diffusion Models
Just a note you can run upscaling on your home desktop with Real-ESRGAN:
https://github.com/xinntao/Real-ESRGAN
- What software to use for upscaling anime edits
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What neural net for SISR?
Maybe Real-ESRGAN is a good fit? Even tho it's a couple of years old
- Cant make concurrent calls to Model
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Outis my beloved
I'm glad you noticed! I upscaled the icon from the wiki using Real-ESRGAN's 4xplus anime model, then photoshopped out the text. Worked far better than waifu2x.
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ComicMerge (Beta testing version - SafeTensors)
A: Try using High-res Fix and R-ESRGAN 4x+ Anime6B as upscaler
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Is there any way to upscale local files permanently using Nvidia's RT VSR?
Maybe try this one https://github.com/xinntao/Real-ESRGAN it may work even better.
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YOASOBI Idol [3840 x 2160]
Screenshotted from the official music video, upscaled to 4k using a state of the art ML model.
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Compilation of (almost) all end of chapter panels
Do you happen to remember which chapter has that "scene"? You could also try to enhance it yourself, I did it using Real-ESRGAN, which is really easy to use.
What are some alternatives?
DeepBump - Normal & height maps generation from single pictures
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]
SwinIR - SwinIR: Image Restoration Using Swin Transformer (official repository)
dream-textures - Stable Diffusion built-in to Blender
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
BSRGAN - Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!
waifu2x - Image Super-Resolution for Anime-Style Art
Real-ESRGAN-colab - A Real-ESRGAN model trained on a custom dataset
a-PyTorch-Tutorial-to-Super-Resolution - Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution
waifu2x-caffe - waifu2xのCaffe版
stable-diffusion - A latent text-to-image diffusion model