Unpaired-Sketch-to-Photo-Translation

We have released our code at https://github.com/rt219/Unsupervised-Sketch-to-Photo-Synthesis

This project is the implementation of Unsupervised Sketch to Photo Synthesis (arxiv: https://arxiv.org/abs/1909.08313).

Photo Generation Examples

This figure shows generated photo images using the proposed model. From left to right: input sketch, generated grayscale photo (shape translation), generated RGB photo (basic colorization), generated RGB photo condition on reference photo (improved colorization), two nearest neighbors of the generated RGB photo. To retrieve the nearest neighbours, we employed an ImageNet pre-trained ResNet18 to extract the deep feature of each image, and computed L2 distance for comparison.

Sketch Generation Examples

This figure shows generated sketch images using the proposed model.

Accumulative Results

This figure shows generated grayscale photo images corresponding to accumulative sketches. The last two images of each example are the final outputs. Accumulative sketches are obtained by manipulating images in SVG format.

An Unpaired Sketch-to-Photo Translation Model

Related tags

Overview

Unpaired-Sketch-to-Photo-Translation

Photo Generation Examples

Sketch Generation Examples

Accumulative Results

Owner

The official pytorch implemention of the CVPR paper "Temporal Modulation Network for Controllable Space-Time Video Super-Resolution".

Official PyTorch implementation of "RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on" (IJCAI-ECAI 2022)

BMVC 2021: This is the github repository for "Few Shot Temporal Action Localization using Query Adaptive Transformers" accepted in British Machine Vision Conference (BMVC) 2021, Virtual

Spline is a tool that is capable of running locally as well as part of well known pipelines like Jenkins (Jenkinsfile), Travis CI (.travis.yml) or similar ones.

This repository is the code of the paper Accelerating Deep Reinforcement Learning for Digital Twin Network Optimization with Evolutionary Strategies

A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).

This a classic fintech problem that introduces real life difficulties such as data imbalance. Check out the notebook to find out more!

Accurate Phylogenetic Inference with Symmetry-Preserving Neural Networks

Repository of Vision Transformer with Deformable Attention

Lane follower: Lane-detector (OpenCV) + Object-detector (YOLO5) + CAN-bus

CMT: Convolutional Neural Networks Meet Vision Transformers

RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Marks Lab at Harvard.

Code for "LoRA: Low-Rank Adaptation of Large Language Models"

Long Expressive Memory (LEM)

Multi-Scale Geometric Consistency Guided Multi-View Stereo

Systematic generalisation with group invariant predictions

Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

Implementation of "With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition, BMVC, 2021" in PyTorch

A PyTorch implementation of ViTGAN based on paper ViTGAN: Training GANs with Vision Transformers.