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Image Generation

117 papers with code · Computer Vision

Image generation (synthesis) is the task of generating new images from an existing dataset.

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Latest papers without code

Robust Conditional Generative Adversarial Networks

ICLR 2019 Grigorios G. Chrysos et al

Conditional generative adversarial networks (cGAN) have led to large improvements in the task of conditional image generation, which lies at the heart of computer vision.

CONDITIONAL IMAGE GENERATION

01 May 2019

Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision

ICLR 2019 José Lezama

A major challenge in learning image representations is the disentangling of the factors of variation underlying the image formation.

IMAGE GENERATION IMAGE RECONSTRUCTION

01 May 2019

Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders

12 Feb 2019Jaeyoung Yoo et al

In addition, we propose an incremental learning strategy of latent variables so that the autoencoder learns important features of data by using the structural characteristics of under-complete autoencoder without an explicit regularization term in the objective function.

IMAGE GENERATION

12 Feb 2019

Photorealistic Image Synthesis for Object Instance Detection

9 Feb 2019Tomas Hodan et al

We present an approach to synthesize highly photorealistic images of 3D object models, which we use to train a convolutional neural network for detecting the objects in real images.

IMAGE GENERATION

09 Feb 2019

Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model

7 Feb 2019Jianwen Xie et al

We propose to learn the two models jointly, where the fast thinking policy-like model serves to initialize the sampling of the slow thinking planner-like model, and the planner-like model refines the initial output by an iterative algorithm.

IMAGE GENERATION

07 Feb 2019

Realistic Image Generation using Region-phrase Attention

4 Feb 2019Wanming Huang et al

The true-grid region is derived using a set of auxiliary bounding boxes.

IMAGE GENERATION

04 Feb 2019

Compatible and Diverse Fashion Image Inpainting

4 Feb 2019Xintong Han et al

The latent representations are jointly optimized with the corresponding generation network to condition the synthesis process, encouraging a diverse set of generated results that are visually compatible with existing fashion garments.

IMAGE GENERATION IMAGE INPAINTING

04 Feb 2019

Collaborative GAN Sampling

2 Feb 2019Yuejiang Liu et al

In this work, we propose a collaborative sampling scheme between the generator and discriminator for improved data generation.

IMAGE GENERATION

02 Feb 2019

TF-Replicator: Distributed Machine Learning for Researchers

1 Feb 2019Peter Buchlovsky et al

We describe TF-Replicator, a framework for distributed machine learning designed for DeepMind researchers and implemented as an abstraction over TensorFlow.

CONTINUOUS CONTROL IMAGE GENERATION

01 Feb 2019

Emerging Convolutions for Generative Normalizing Flows

30 Jan 2019Emiel Hoogeboom et al

We generalize the 1 x 1 convolutions proposed in Glow to invertible d x d convolutions, which are more flexible since they operate on both channel and spatial axes.

IMAGE GENERATION

30 Jan 2019