3D Photo Stylization

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Alias-Free GAN project website and code

a Disqus alternative

🎇 Compilation of the best resources to learn programming OpenGL Shaders

Differentiable rendering without approximation.

PIL-based driver and simulator for the Alfa-Zeta Flip-Dot display

Fast Example-based Image Synthesis and Style Transfer

Python implementation of A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York

[CVPR‘20] SpixelFCN: Superpixel Segmentation with Fully Convolutional Network

StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using Conditional Continuous Normalizing Flows (ACM TOG 2021)

Reimplementation of Style Transfer by Relaxed Optimal Transport and Self-Similarity

Getting to 99% Accuracy in Interactive Segmentation and Interactive Training and Architecture for Deep Object Selection

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

We gave derivations of Hierarchical Equations Of Motion, which describe the dissipative propagation of reduced density matrix.

fast calculation of distance in periodic boundary conditions

StyleGAN Encoder - converts real images to latent space

The author's officially unofficial PyTorch BigGAN implementation.

Chainer implementation of Style-based Generator

A package manager and build system for C++

"Neural 3D Mesh Renderer" (CVPR 2018) by H. Kato, Y. Ushiku, and T. Harada.

Decomposing an input image into layers via "color unblending"

Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration

Neural style stransfer with high resolution texture

💻 Ability to rename desktop spaces on macOS 10.10+

A set of tools supporting the development, execution, and benchmarking of trajectory inference methods. 🌍

2015 年夏学期の数理科学基礎 (線形代数学) 、線形代数学 1 および冬学期の線形代数学 2 の資料です。