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

Public implementation of "Learning from Suboptimal Demonstration via Self-Supervised Reward Regression" from CoRL'21

AirLoop: Lifelong Loop Closure Detection

RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining

This library provides an abstraction to perform Model Versioning using Weight & Biases.

Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)

Demonstration of the Model Training as a CI/CD System in Vertex AI

The Video-based Accident Detection System built in Python

Contrastive Fact Verification

Safe Policy Optimization with Local Features

This Artificial Intelligence program can take a black and white/grayscale image and generate a realistic or plausible colorized version of the same picture.

[2021][ICCV][FSNet] Full-Duplex Strategy for Video Object Segmentation

This is the code for CVPR 2021 oral paper: Jigsaw Clustering for Unsupervised Visual Representation Learning

End-to-End Referring Video Object Segmentation with Multimodal Transformers

Deep Q Learning with OpenAI Gym and Pokemon Showdown

MapReader: A computer vision pipeline for the semantic exploration of maps at scale

Sign Language is detected in realtime using video sequences. Our approach involves MediaPipe Holistic for keypoints extraction and LSTM Model for prediction.

pytorchのスライス代入操作をonnxに変換する際にScatterNDならないようにするサンプル

LUKE -- Language Understanding with Knowledge-based Embeddings

Multi-modal Vision Transformers Excel at Class-agnostic Object Detection

Exploring Machine Learning Models for detecting anomalous behavior in credit-card transactions. It's crucial that credit-card companies are able to recognize fraudulent activity so that customers are not charged for items they didn't purchase.