# Real-ESRGAN

## Docs

- [RRDBNet](https://mintlify.wiki/xinntao/Real-ESRGAN/api/architectures/rrdbnet.md): Residual in Residual Dense Block Network for super-resolution
- [SRVGGNetCompact](https://mintlify.wiki/xinntao/Real-ESRGAN/api/architectures/srvgg.md): A compact VGG-style network structure for super-resolution
- [Inference Scripts](https://mintlify.wiki/xinntao/Real-ESRGAN/api/inference-scripts.md): Command-line interfaces for image and video upsampling
- [Training Models](https://mintlify.wiki/xinntao/Real-ESRGAN/api/models.md): RealESRGANModel and RealESRNetModel classes for training Real-ESRGAN networks
- [RealESRGANer](https://mintlify.wiki/xinntao/Real-ESRGAN/api/realesrganer.md): Main inference class for upsampling images with Real-ESRGAN models
- [Utility Functions](https://mintlify.wiki/xinntao/Real-ESRGAN/api/utils.md): Helper classes for image processing and I/O operations
- [How It Works](https://mintlify.wiki/xinntao/Real-ESRGAN/concepts/how-it-works.md): Understanding Real-ESRGAN's approach to practical blind super-resolution
- [Model Architecture](https://mintlify.wiki/xinntao/Real-ESRGAN/concepts/model-architecture.md): Deep dive into Real-ESRGAN's network architectures and their components
- [Training Strategy](https://mintlify.wiki/xinntao/Real-ESRGAN/concepts/training-strategy.md): Understanding Real-ESRGAN's two-stage training process and loss functions
- [Anime Images](https://mintlify.wiki/xinntao/Real-ESRGAN/guides/anime-images.md): Upscale anime illustrations and artwork with the optimized RealESRGAN_x4plus_anime_6B model
- [Anime Videos](https://mintlify.wiki/xinntao/Real-ESRGAN/guides/anime-videos.md): Upscale anime videos with the optimized realesr-animevideov3 model
- [Face Enhancement](https://mintlify.wiki/xinntao/Real-ESRGAN/guides/face-enhancement.md): Integrate GFPGAN face enhancement with Real-ESRGAN for superior face restoration
- [General Images](https://mintlify.wiki/xinntao/Real-ESRGAN/guides/general-images.md): Upscale real-world photos and general images with Real-ESRGAN
- [Basic Inference](https://mintlify.wiki/xinntao/Real-ESRGAN/guides/inference.md): Learn how to use Real-ESRGAN for image super-resolution with the inference_realesrgan.py script
- [NCNN Executable](https://mintlify.wiki/xinntao/Real-ESRGAN/guides/ncnn-executable.md): Use the portable Real-ESRGAN-ncnn-vulkan executable without Python or CUDA
- [Installation](https://mintlify.wiki/xinntao/Real-ESRGAN/installation.md): Install Real-ESRGAN and its dependencies
- [Introduction](https://mintlify.wiki/xinntao/Real-ESRGAN/introduction.md): Real-ESRGAN - Practical Algorithms for General Image/Video Restoration
- [Anime Models](https://mintlify.wiki/xinntao/Real-ESRGAN/models/anime-models.md): Models optimized for anime images, illustrations, and manga
- [General Models](https://mintlify.wiki/xinntao/Real-ESRGAN/models/general-models.md): Models optimized for general photographic images and natural scenes
- [Model Zoo](https://mintlify.wiki/xinntao/Real-ESRGAN/models/model-zoo.md): Complete collection of Real-ESRGAN models for different use cases
- [Video Models](https://mintlify.wiki/xinntao/Real-ESRGAN/models/video-models.md): Lightweight models optimized for video upscaling with temporal consistency
- [Quick Start](https://mintlify.wiki/xinntao/Real-ESRGAN/quickstart.md): Get started with Real-ESRGAN image upscaling
- [Anime Model Comparisons](https://mintlify.wiki/xinntao/Real-ESRGAN/resources/comparisons.md): Performance comparisons between Real-ESRGAN anime models and competing solutions
- [Contributing to Real-ESRGAN](https://mintlify.wiki/xinntao/Real-ESRGAN/resources/contributing.md): Guidelines for contributing to the Real-ESRGAN project
- [Frequently Asked Questions](https://mintlify.wiki/xinntao/Real-ESRGAN/resources/faq.md): Common questions and troubleshooting for Real-ESRGAN
- [Dataset Preparation](https://mintlify.wiki/xinntao/Real-ESRGAN/training/dataset-preparation.md): Prepare DF2K and OST datasets for training Real-ESRGAN
- [Fine-tuning Real-ESRGAN](https://mintlify.wiki/xinntao/Real-ESRGAN/training/finetune.md): Adapt Real-ESRGAN to your custom dataset
- [Training Overview](https://mintlify.wiki/xinntao/Real-ESRGAN/training/overview.md): Understand the two-stage training process for Real-ESRGAN
- [Train Real-ESRGAN](https://mintlify.wiki/xinntao/Real-ESRGAN/training/train-realesrgan.md): Stage 2 training with L1, perceptual, and GAN losses
- [Train Real-ESRNet](https://mintlify.wiki/xinntao/Real-ESRGAN/training/train-realesrnet.md): Stage 1 training with L1 loss from pre-trained ESRGAN