644 Open source projects that are alternatives of or similar to DeepSIM

This repository contains the code for the paper "PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization"

Auxiliary Classifier Generative Adversarial Networks in Keras

Simple Ray Tracer

Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs (CVPRW 2020)

FLIP Fluids is a powerful liquid simulation plugin that gives you the ability to create high quality fluid effects all within Blender, the free and open source 3D creation suite.

Collection of generative models in Pytorch version.

Pytorch implemenation of Stochastic Multi-Label Image-to-image Translation (SMIT), ICCV Workshops 2019.

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models (published in ICLR2018)

Real-time ray marching shaders in Unity

Learning kernels to maximize the power of MMD tests

Real-time Position-Based Fluids in OpenCL, homework in Stanford's CS348C

TF implementation of our ECCV 2018 paper: Semi-supervised Adversarial Learning to Generate Photorealistic Face Images of New Identities from 3D Morphable Model

[CVPR'19] End-to-end Projector Photometric Compensation

Generative adversarial training for generating synthetic tabular data.

A thermal-printer-oriented, 1-bit graphics rasterizer for 2D and 3D

Implementation of Conditional Generative Adversarial Networks in PyTorch

🔮 Shader Authoring Lab

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

Tensorflow implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Netwokrs for MNIST dataset.

A Chrome T-Rex game remake using javascript and threejs. Online demo: https://rossning92.github.io/t-rex

A DCGAN to generate anime faces using custom mined dataset

Cool vision, learning, and graphics papers on Cats!

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | a PyTorch Tutorial to Super-Resolution

3D-aware GANs based on NeRF (arXiv).

OpenMMLab Image and Video Editing Toolbox

A high performance anime upscaler

Kreative PowerPaint - Library and Application for Bitmap and Vector Image Editing

Automatically registers (aligns) and visualizes point clouds, or processes a whole bunch at once

Yocto/GL: Tiny C++ Libraries for Data-Driven Physically-based Graphics

Code accompanying our ECCV-2020 paper on 3D Neural Listeners.

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

Graphic Engine & Game Engine lists

A PyTorch implementation for StyleGAN with full features.

Generative Adversarial Networks in TensorFlow 2.0

🎎 InfoGAN: Interpretable Representation Learning

GeneGAN: Learning Object Transfiguration and Attribute Subspace from Unpaired Data

A Multi-Scale Model for Simulating Liquid-Hair Interactions

Semantic Image Inpainting

MaterialX is an open standard for transfer of rich material and look-development content between applications and renderers.

Focal Frequency Loss for Generative Models

🐳 GAN implemented as Tensorflow 2.X

Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)

An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]

A curated list of awesome machine learning resources in the context of digital media and (interactive) computer graphics.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

Computational Graphics - THU Spring 2018

Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks in Keras.

The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"

👁️ An authorial set of fundamental Python recipes on Computer Vision and Digital Image Processing.

🎇 Compilation of the best resources to learn programming OpenGL Shaders

A unified framework for example-based texture synthesis, developed alongside my master's thesis.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

Computer Graphics vs Real Photographic Images : A Deep-learning approach

Official code (Pytorch) for paper Perception-Enhanced Single Image Super-Resolution via Relativistic Generative Networks

Repo for "On Learning Symmetric Locomotion"

Assessing Generative Models via Precision and Recall (official repository)

Advanced shading language for production GI renderers