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08/24/2023
Dense Text-to-Image Generation with Attention Modulation
Existing text-to-image diffusion models struggle to synthesize realistic...
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07/06/2023
Synthesizing Artistic Cinemagraphs from Text
We introduce Text2Cinemagraph, a fully automated method for creating cin...
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06/15/2023
Evaluating Data Attribution for Text-to-Image Models
While large text-to-image models are able to synthesize "novel" images, ...
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05/04/2023
Controllable Visual-Tactile Synthesis
Deep generative models have various content creation applications such a...
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05/02/2023
Generalizing Dataset Distillation via Deep Generative Prior
Dataset Distillation aims to distill an entire dataset's knowledge into ...
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04/24/2023
Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis
We explore the task of embodied view synthesis from monocular videos of ...
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04/13/2023
Expressive Text-to-Image Generation with Rich Text
Plain text has become a prevalent interface for text-to-image synthesis....
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03/23/2023
Ablating Concepts in Text-to-Image Diffusion Models
Large-scale text-to-image diffusion models can generate high-fidelity im...
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02/16/2023
3D-aware Conditional Image Synthesis
We propose pix2pix3D, a 3D-aware conditional generative model for contro...
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02/13/2023
3D-aware Blending with Generative NeRFs
Image blending aims to combine multiple images seamlessly. It remains ch...
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02/06/2023
Zero-shot Image-to-Image Translation
Large-scale text-to-image generative models have shown their remarkable ...
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01/12/2023
Domain Expansion of Image Generators
Can one inject new concepts into an already trained generative model, wh...
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12/08/2022
Multi-Concept Customization of Text-to-Image Diffusion
While generative models produce high-quality images of concepts learned ...
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11/03/2022
Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models
During image editing, existing deep generative models tend to re-synthes...
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10/06/2022
Content-Based Search for Deep Generative Models
The growing proliferation of pretrained generative models has made it in...
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07/28/2022
Rewriting Geometric Rules of a GAN
Deep generative models make visual content creation more accessible to n...
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06/16/2022
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing
Existing GAN inversion and editing methods work well for aligned objects...
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03/22/2022
Dataset Distillation by Matching Training Trajectories
Dataset distillation is the task of synthesizing a small dataset such th...
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12/16/2021
Ensembling Off-the-shelf Models for GAN Training
The advent of large-scale training has produced a cornucopia of powerful...
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12/09/2021
GAN-Supervised Dense Visual Alignment
We propose GAN-Supervised Learning, a framework for learning discriminat...
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11/12/2021
Contrastive Feature Loss for Image Prediction
Training supervised image synthesis models requires a critic to compare ...
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08/05/2021
Sketch Your Own GAN
Can a user create a deep generative model by sketching a single example?...
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07/06/2021
Depth-supervised NeRF: Fewer Views and Faster Training for Free
One common failure mode of Neural Radiance Field (NeRF) models is fittin...
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05/13/2021
Editing Conditional Radiance Fields
A neural radiance field (NeRF) is a scene model supporting high-quality ...
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04/29/2021
Ensembling with Deep Generative Views
Recent generative models can synthesize "views" of artificial images tha...
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04/22/2021
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation
We investigate the sensitivity of the Fréchet Inception Distance (FID) s...
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03/04/2021
Anycost GANs for Interactive Image Synthesis and Editing
Generative adversarial networks (GANs) have enabled photorealistic image...
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09/10/2020
Understanding the Role of Individual Units in a Deep Neural Network
Deep neural networks excel at finding hierarchical representations that ...
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08/24/2020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
Existing disentanglement methods for deep generative models rely on hand...
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07/30/2020
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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07/30/2020
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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07/01/2020
Swapping Autoencoder for Deep Image Manipulation
Deep generative models have become increasingly effective at producing r...
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06/18/2020
Differentiable Augmentation for Data-Efficient GAN Training
The performance of generative adversarial networks (GANs) heavily deteri...
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06/18/2020
Diverse Image Generation via Self-Conditioned GANs
We introduce a simple but effective unsupervised method for generating r...
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05/15/2020
Semantic Photo Manipulation with a Generative Image Prior
Despite the recent success of GANs in synthesizing images conditioned on...
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05/04/2020
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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04/08/2020
State of the Art on Neural Rendering
Efficient rendering of photo-realistic virtual worlds is a long standing...
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03/19/2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Conditional Generative Adversarial Networks (cGANs) have enabled control...
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10/24/2019
Seeing What a GAN Cannot Generate
Despite the success of Generative Adversarial Networks (GANs), mode coll...
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06/14/2019
Connecting Touch and Vision via Cross-Modal Prediction
Humans perceive the world using multi-modal sensory inputs such as visio...
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03/18/2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
We propose spatially-adaptive normalization, a simple but effective laye...
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01/29/2019
Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)
Generative Adversarial Networks (GANs) have achieved impressive results ...
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12/06/2018
Visual Object Networks: Image Generation with Disentangled 3D Representation
Recent progress in deep generative models has led to tremendous breakthr...
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11/27/2018
Dataset Distillation
Model distillation aims to distill the knowledge of a complex model into...
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11/26/2018
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
Generative Adversarial Networks (GANs) have recently achieved impressive...
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09/28/2018
Propagation Networks for Model-Based Control Under Partial Observation
There has been an increasing interest in learning dynamics simulators fo...
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08/28/2018
3D-Aware Scene Manipulation via Inverse Graphics
We aim to obtain an interpretable, expressive and disentangled scene rep...
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08/20/2018
Video-to-Video Synthesis
We study the problem of video-to-video synthesis, whose goal is to learn...
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01/08/2018
Spatially transformed adversarial examples
Recent studies show that widely used deep neural networks (DNNs) are vul...
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01/08/2018