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Conditional Image Generation

31 papers with code · Computer Vision
Subtask of Image Generation

Conditional image generation is the task of generating new images from a dataset conditional on their class.

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Greatest papers with code

Improved Techniques for Training GANs

NeurIPS 2016 tensorflow/models

We present a variety of new architectural features and training procedures that we apply to the generative adversarial networks (GANs) framework.

CONDITIONAL IMAGE GENERATION SEMI-SUPERVISED IMAGE CLASSIFICATION

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

19 Nov 2015tensorflow/models

In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications.

CONDITIONAL IMAGE GENERATION UNSUPERVISED REPRESENTATION LEARNING

Self-Attention Generative Adversarial Networks

arXiv 2018 jantic/DeOldify

In this paper, we propose the Self-Attention Generative Adversarial Network (SAGAN) which allows attention-driven, long-range dependency modeling for image generation tasks.

CONDITIONAL IMAGE GENERATION

Improved Training of Wasserstein GANs

NeurIPS 2017 eriklindernoren/Keras-GAN

Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training instability.

CONDITIONAL IMAGE GENERATION

Conditional Image Synthesis With Auxiliary Classifier GANs

ICML 2017 eriklindernoren/PyTorch-GAN

We expand on previous work for image quality assessment to provide two new analyses for assessing the discriminability and diversity of samples from class-conditional image synthesis models.

CONDITIONAL IMAGE GENERATION IMAGE QUALITY ASSESSMENT

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

CVPR 2018 NVIDIA/pix2pixHD

We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).

CONDITIONAL IMAGE GENERATION IMAGE-TO-IMAGE TRANSLATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Large Scale GAN Training for High Fidelity Natural Image Synthesis

ICLR 2019 ajbrock/BigGAN-PyTorch

Despite recent progress in generative image modeling, successfully generating high-resolution, diverse samples from complex datasets such as ImageNet remains an elusive goal.

CONDITIONAL IMAGE GENERATION

Conditional Image Generation with PixelCNN Decoders

NeurIPS 2016 openai/pixel-cnn

This work explores conditional image generation with a new image density model based on the PixelCNN architecture.

#6 best model for Image Generation on CIFAR-10 (NLL Test metric)

CONDITIONAL IMAGE GENERATION

High-Fidelity Image Generation With Fewer Labels

6 Mar 2019google/compare_gan

Deep generative models are becoming a cornerstone of modern machine learning.

CONDITIONAL IMAGE GENERATION

GANimation: Anatomically-aware Facial Animation from a Single Image

ECCV 2018 albertpumarola/GANimation

Recent advances in Generative Adversarial Networks (GANs) have shown impressive results for task of facial expression synthesis.

CONDITIONAL IMAGE GENERATION FACE GENERATION IMAGE-TO-IMAGE TRANSLATION