yan_gu's starred repositories
stable-diffusion
A latent text-to-image diffusion model
Concept-centric-Personalization
The official code of "Concept-centric Personalization with Large-scale Diffusion Priors".
Stable-Diffusion
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney
Awesome-AIGC-Tutorials
Curated tutorials and resources for Large Language Models, AI Painting, and more.
sd-face-editor
Face Editor for Stable Diffusion
stable-diffusion-webui
Stable Diffusion web UI
multi-task-defocus-deblurring-dual-pixel-nimat
Reference github repository for the paper "Improving Single-Image Defocus Deblurring: How Dual-Pixel Images Help Through Multi-Task Learning". We propose a single-image deblurring network that incorporates the two sub-aperture views into a multitask framework. Specifically, we show that jointly learning to predict the two DP views from a single blurry input image improves the network’s ability to learn to deblur the image. Our experiments show this multi-task strategy achieves +1dB PSNR improvement over state-of-the-art defocus deblurring methods. In addition, our multi-task framework allows accurate DP-view synthesis (e.g., ~ 39dB PSNR) from the single input image. These high-quality DP views can be used for other DP-based applications, such as reflection removal. As part of this effort, we have captured a new dataset of 7,059 high-quality images to support our training for the DP-view synthesis task.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
recurrent-defocus-deblurring-synth-dual-pixel
Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring results and is suitable for use with single-frame and multi-frame data captured by DP sensors.
event-camera-visualization
It's a very basic visualization of event camera outputs.
Human-Aware-Motion-Deblurring
This repo is the implementation of the paper Human-Aware Motion Deblurring (https://arxiv.org/abs/2001.06816)
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Face-Super-Resolution
Face super resolution based on ESRGAN
dcgan_vae_pytorch
dcgan combined with vae in pytorch!
ECCV16-CBN
Demo code + Caffe prototxt training file, for Shizhan Zhu et al.'s ECCV-16 work Deep Cascaded Bi-Network for Face Hallucination
knowledge-distillation-papers
knowledge distillation papers