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Anycost GANs for Interactive Image Synthesis and Editing
Generative adversarial networks (GANs) have enabled photorealistic image...
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Understanding the Role of Individual Units in a Deep Neural Network
Deep neural networks excel at finding hierarchical representations that ...
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The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
Existing disentanglement methods for deep generative models rely on hand...
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Contrastive Learning for Unpaired Image-to-Image Translation
In image-to-image translation, each patch in the output should reflect t...
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Rewriting a Deep Generative Model
A deep generative model such as a GAN learns to model a rich set of sema...
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Swapping Autoencoder for Deep Image Manipulation
Deep generative models have become increasingly effective at producing r...
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Differentiable Augmentation for Data-Efficient GAN Training
The performance of generative adversarial networks (GANs) heavily deteri...
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Diverse Image Generation via Self-Conditioned GANs
We introduce a simple but effective unsupervised method for generating r...
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Semantic Photo Manipulation with a Generative Image Prior
Despite the recent success of GANs in synthesizing images conditioned on...
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Transforming and Projecting Images into Class-conditional Generative Networks
We present a method for projecting an input image into the space of a cl...
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State of the Art on Neural Rendering
Efficient rendering of photo-realistic virtual worlds is a long standing...
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GAN Compression: Efficient Architectures for Interactive Conditional GANs
Conditional Generative Adversarial Networks (cGANs) have enabled control...
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Seeing What a GAN Cannot Generate
Despite the success of Generative Adversarial Networks (GANs), mode coll...
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Connecting Touch and Vision via Cross-Modal Prediction
Humans perceive the world using multi-modal sensory inputs such as visio...
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Semantic Image Synthesis with Spatially-Adaptive Normalization
We propose spatially-adaptive normalization, a simple but effective laye...
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Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)
Generative Adversarial Networks (GANs) have achieved impressive results ...
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Visual Object Networks: Image Generation with Disentangled 3D Representation
Recent progress in deep generative models has led to tremendous breakthr...
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Dataset Distillation
Model distillation aims to distill the knowledge of a complex model into...
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GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
Generative Adversarial Networks (GANs) have recently achieved impressive...
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Propagation Networks for Model-Based Control Under Partial Observation
There has been an increasing interest in learning dynamics simulators fo...
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3D-Aware Scene Manipulation via Inverse Graphics
We aim to obtain an interpretable, expressive and disentangled scene rep...
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Video-to-Video Synthesis
We study the problem of video-to-video synthesis, whose goal is to learn...
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Spatially transformed adversarial examples
Recent studies show that widely used deep neural networks (DNNs) are vul...
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Generating adversarial examples with adversarial networks
Deep neural networks (DNNs) have been found to be vulnerable to adversar...
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Toward Multimodal Image-to-Image Translation
Many image-to-image translation problems are ambiguous, as a single inpu...
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High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
We present a new method for synthesizing high-resolution photo-realistic...
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CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Domain adaptation is critical for success in new, unseen environments. A...
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Real-Time User-Guided Image Colorization with Learned Deep Priors
We propose a deep learning approach for user-guided image colorization. ...
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Light Field Video Capture Using a Learning-Based Hybrid Imaging System
Light field cameras have many advantages over traditional cameras, as th...
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Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Image-to-image translation is a class of vision and graphics problems wh...
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Image-to-Image Translation with Conditional Adversarial Networks
We investigate conditional adversarial networks as a general-purpose sol...
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Generative Visual Manipulation on the Natural Image Manifold
Realistic image manipulation is challenging because it requires modifyin...
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A 4D Light-Field Dataset and CNN Architectures for Material Recognition
We introduce a new light-field dataset of materials, and take advantage ...
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