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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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06/15/2023
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data
Current perceptual similarity metrics operate at the level of pixels and...
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05/15/2023
By-Software Branch Prediction in Loops
Load-Dependent Branches (LDB) often do not exhibit regular patterns in t...
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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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02/06/2023
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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08/24/2022
3D-FM GAN: Towards 3D-Controllable Face Manipulation
3D-controllable portrait synthesis has significantly advanced, thanks to...
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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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05/24/2022
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions
We present ASSET, a neural architecture for automatically modifying an i...
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05/05/2022
BlobGAN: Spatially Disentangled Scene Representations
We propose an unsupervised, mid-level representation for a generative mo...
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04/14/2022
Any-resolution Training for High-resolution Image Synthesis
Generative models operate at fixed resolution, even though natural image...
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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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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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04/13/2021
Few-shot Image Generation via Cross-domain Correspondence
Training generative models, such as GANs, on a target domain containing ...
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03/18/2021
The Low-Rank Simplicity Bias in Deep Networks
Modern deep neural networks are highly over-parameterized compared to th...
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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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02/09/2021
CDPAM: Contrastive learning for perceptual audio similarity
Many speech processing methods based on deep learning require an automat...
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12/05/2020
Spatially-Adaptive Pixelwise Networks for Fast Image Translation
We introduce a new generator architecture, aimed at fast and efficient h...
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12/04/2020
Few-shot Image Generation with Elastic Weight Consolidation
Few-shot image generation seeks to generate more data of a given domain,...
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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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07/01/2020
Swapping Autoencoder for Deep Image Manipulation
Deep generative models have become increasingly effective at producing r...
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06/12/2020
How Many Samples is a Good Initial Point Worth?
Given a sufficiently large amount of labeled data, the non-convex low-ra...
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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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04/29/2020
Image Morphing with Perceptual Constraints and STN Alignment
In image morphing, a sequence of plausible frames are synthesized and co...
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01/13/2020
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences
Assessment of many audio processing tasks relies on subjective evaluatio...
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12/23/2019
CNN-generated images are surprisingly easy to spot... for now
In this work we ask whether it is possible to create a "universal" detec...
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09/24/2019
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation
Arnab Ghosh 6:32 PM We propose an interactive GAN-based sketch-to-image ...
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06/13/2019
Detecting Photoshopped Faces by Scripting Photoshop
Most malicious photo manipulations are created using standard image edit...
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04/25/2019
Making Convolutional Networks Shift-Invariant Again
Modern convolutional networks are not shift-invariant, as small input sh...
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04/18/2019
Deep Parametric Shape Predictions using Distance Fields
Many tasks in graphics and vision demand machinery for converting shapes...
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04/04/2018
Stochastic Adversarial Video Prediction
Being able to predict what may happen in the future requires an in-depth...
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01/11/2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
While it is nearly effortless for humans to quickly assess the perceptua...
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11/30/2017
Toward Multimodal Image-to-Image Translation
Many image-to-image translation problems are ambiguous, as a single inpu...
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05/08/2017
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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11/29/2016
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
We propose split-brain autoencoders, a straightforward modification of t...
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03/28/2016