1397 papers with code • 1 benchmarks • 1 datasets

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Most implemented papers

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

AlexeyAB/darknet 27 Nov 2019

Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.

Analyzing and Improving the Image Quality of StyleGAN

NVlabs/stylegan2 CVPR 2020

Overall, our improved model redefines the state of the art in unconditional image modeling, both in terms of existing distribution quality metrics as well as perceived image quality.

StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation

eriklindernoren/PyTorch-GAN CVPR 2018

To address this limitation, we propose StarGAN, a novel and scalable approach that can perform image-to-image translations for multiple domains using only a single model.

CIDEr: Consensus-based Image Description Evaluation

tylin/coco-caption CVPR 2015

We propose a novel paradigm for evaluating image descriptions that uses human consensus.

Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)

marinbenc/medical-polar-training 9 Feb 2019

This work summarizes the results of the largest skin image analysis challenge in the world, hosted by the International Skin Imaging Collaboration (ISIC), a global partnership that has organized the world's largest public repository of dermoscopic images of skin.

Deep Feature Consistent Variational Autoencoder

AntixK/PyTorch-VAE 2 Oct 2016

We present a novel method for constructing Variational Autoencoder (VAE).

StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

kamepong/StarGAN-VC 6 Jun 2018

This paper proposes a method that allows non-parallel many-to-many voice conversion (VC) by using a variant of a generative adversarial network (GAN) called StarGAN.

Sampling Generative Networks

dribnet/plat 14 Sep 2016

We introduce several techniques for sampling and visualizing the latent spaces of generative models.

Closed-Form Factorization of Latent Semantics in GANs

rosinality/stylegan2-pytorch CVPR 2021

A rich set of interpretable dimensions has been shown to emerge in the latent space of the Generative Adversarial Networks (GANs) trained for synthesizing images.

AttGAN: Facial Attribute Editing by Only Changing What You Want

LynnHo/AttGAN-Tensorflow 29 Nov 2017

Based on the encoder-decoder architecture, facial attribute editing is achieved by decoding the latent representation of the given face conditioned on the desired attributes.