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07/11/2023
Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives
Given a set of calibrated images of a scene, we present an approach that...
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06/15/2023
Rosetta Neurons: Mining the Common Units in a Model Zoo
Do different neural networks, trained for various vision tasks, share so...
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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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06/01/2023
Diffusion Self-Guidance for Controllable Image Generation
Large-scale generative models are capable of producing high-quality imag...
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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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03/22/2023
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
We propose a method for editing NeRF scenes with text-instructions. Give...
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02/27/2023
Internet Explorer: Targeted Representation Learning on the Open Web
Modern vision models typically rely on fine-tuning general-purpose model...
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11/17/2022
InstructPix2Pix: Learning to Follow Image Editing Instructions
We propose a method for editing images from human instructions: given an...
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09/29/2022
Understanding Collapse in Non-Contrastive Siamese Representation Learning
Contrastive methods have led a recent surge in the performance of self-s...
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09/26/2022
Learning to Learn with Generative Models of Neural Network Checkpoints
We explore a data-driven approach for learning to optimize neural networ...
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09/15/2022
Test-Time Training with Masked Autoencoders
Test-time training adapts to a new test distribution on the fly by optim...
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09/06/2022
Studying Bias in GANs through the Lens of Race
In this work, we study how the performance and evaluation of generative ...
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09/01/2022
Visual Prompting via Image Inpainting
How does one adapt a pre-trained visual model to novel downstream tasks ...
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06/07/2022
Generating Long Videos of Dynamic Scenes
We present a video generation model that accurately reproduces object mo...
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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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04/21/2022
Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency
Approaches for single-view reconstruction typically rely on viewpoint an...
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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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01/20/2022
Learning Pixel Trajectories with Multiscale Contrastive Random Walks
A range of video modeling tasks, from optical flow to multiple object tr...
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12/13/2021
Hallucinating Pose-Compatible Scenes
What does human pose tell us about a scene? We propose a task to answer ...
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10/29/2021
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
The goal of this work is to efficiently identify visually similar patter...
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04/29/2021
MarioNette: Self-Supervised Sprite Learning
Visual content often contains recurring elements. Text is made up of gly...
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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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04/06/2021
Strumming to the Beat: Audio-Conditioned Contrastive Video Textures
We introduce a non-parametric approach for infinite video texture synthe...
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08/13/2020
What Should Not Be Contrastive in Contrastive Learning
Recent self-supervised contrastive methods have been able to produce imp...
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08/06/2020
Learning to Factorize and Relight a City
We propose a learning-based framework for disentangling outdoor scenes i...
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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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07/29/2020
Unselfie: Translating Selfies to Neutral-pose Portraits in the Wild
Due to the ubiquity of smartphones, it is popular to take photos of one'...
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07/08/2020
Self-Supervised Policy Adaptation during Deployment
In most real world scenarios, a policy trained by reinforcement learning...
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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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06/25/2020
Space-Time Correspondence as a Contrastive Random Walk
This paper proposes a simple self-supervised approach for learning repre...
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04/03/2020
RANSAC-Flow: generic two-stage image alignment
This paper considers the generic problem of dense alignment between two ...
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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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09/29/2019
Test-Time Training for Out-of-Distribution Generalization
We introduce a general approach, called test-time training, for improvin...
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09/26/2019
Unsupervised Domain Adaptation through Self-Supervision
This paper addresses unsupervised domain adaptation, the setting where l...
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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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03/18/2019
Learning Correspondence from the Cycle-Consistency of Time
We introduce a self-supervised method for learning visual correspondence...
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03/07/2019
Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
Our goal in this paper is to discover near duplicate patterns in large c...
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02/14/2019
Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity
Contemporary sensorimotor learning approaches typically start with an ex...
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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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08/23/2018
Time-Agnostic Prediction: Predicting Predictable Video Frames
Prediction is arguably one of the most basic functions of an intelligent...
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08/22/2018
Everybody Dance Now
This paper presents a simple method for "do as I do" motion transfer: gi...
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08/14/2018
Improving Generalization via Scalable Neighborhood Component Analysis
Current major approaches to visual recognition follow an end-to-end form...
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08/13/2018
Large-Scale Study of Curiosity-Driven Learning
Reinforcement learning algorithms rely on carefully engineering environm...
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05/10/2018
Fighting Fake News: Image Splice Detection via Learned Self-Consistency
Advances in photo editing and manipulation tools have made it significan...
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04/23/2018
Zero-Shot Visual Imitation
The current dominant paradigm for imitation learning relies on strong su...
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04/10/2018
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
The thud of a bouncing ball, the onset of speech as lips open -- when vi...
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03/30/2018
Learning Beyond Human Expertise with Generative Models for Dental Restorations
Computer vision has advanced significantly that many discriminative appr...
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03/20/2018
Learning Category-Specific Mesh Reconstruction from Image Collections
We present a learning framework for recovering the 3D shape, camera, and...
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02/28/2018