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generative-adversarial-network x

6 search results found

Pytorch Cpp ⭐ 1,710

C++ Implementation of PyTorch Tutorials for Everyone

Few Shot Patch Based Training ⭐ 326

The official implementation of our SIGGRAPH 2020 paper Interactive Video Stylization Using Few-Shot Patch-Based Training

Ai.deploy.box ⭐ 287

A toolbox for deep learning model deployment using C++ YoloX | YoloV7 | YoloV8 | Gan | OCR | MobileVit | Scrfd | MobileSAM

Iseebetter ⭐ 223

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

Tempogan ⭐ 98

Source code for the SIGGRAPH paper "tempoGAN: A Temporally Coherent, Volumetric GAN for Super-resolution Fluid Flow"

Caffe_srgan ⭐ 52

A Caffe Implementation of SRGAN

Psgan Ncnn ⭐ 50

PSGAN running with ncnn⚡妆容迁移/仿妆⚡Imitation Makeup/Makeup Transfer⚡

Ctrlhair ⭐ 47

Controllable Hair Editing (ECCV 2022)

Building generative models for synthesizing and analyzing volume-rendered images

Pytorch Rl Cpp ⭐ 31

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Caffe_cyclegan ⭐ 26

A Caffe/C++ implementation of Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Subtype Gan ⭐ 21

a deep learning approach for integrative cancer subtyping of multi-omics data

Caffe_began ⭐ 17

Caffe/C++ implementation of Boundary Equilibrium Generative Adversarial Networks paper for face generation

Stylegancpp ⭐ 14

Unofficial implementation of StyleGAN's generator

C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).

CFG-GAN: Composite functional gradient learning of generative adversarial models

Dcgan Celeba Pytorch Cpp ⭐ 12

DCGAN Implementation using PyTorch in both C++ and Python

CS 468 Final Project: Implement more caffe layers to do OGN-based auto-encoder and GAN experiments

Nebula: Lightweight Neural Network Benchmarks

Summercamp2018homework ⭐ 9

Homework Statistics of SummerCamp2018

Discrete element method for unsaturated granular materials

Deecamp27 ⭐ 5

Variable Life Adjusted Display and other risk-adjusted quality control charts

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