Alexei A. Efros

research

∙ 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...

0 Tom Monnier, et al. ∙

research

∙ 06/15/2023

Rosetta Neurons: Mining the Common Units in a Model Zoo

Do different neural networks, trained for various vision tasks, share so...

0 Amil Dravid, et al. ∙

research

∙ 06/15/2023

Evaluating Data Attribution for Text-to-Image Models

While large text-to-image models are able to synthesize "novel" images, ...

0 Sheng-Yu Wang, et al. ∙

research

∙ 06/01/2023

Diffusion Self-Guidance for Controllable Image Generation

Large-scale generative models are capable of producing high-quality imag...

0 Dave Epstein, et al. ∙

research

∙ 05/02/2023

Generalizing Dataset Distillation via Deep Generative Prior

Dataset Distillation aims to distill an entire dataset's knowledge into ...

0 George Cazenavette, et al. ∙

research

∙ 03/22/2023

Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions

We propose a method for editing NeRF scenes with text-instructions. Give...

0 Ayaan Haque, et al. ∙

research

∙ 02/27/2023

Internet Explorer: Targeted Representation Learning on the Open Web

Modern vision models typically rely on fine-tuning general-purpose model...

0 Alexander C. Li, et al. ∙

research

∙ 11/17/2022

InstructPix2Pix: Learning to Follow Image Editing Instructions

We propose a method for editing images from human instructions: given an...

0 Tim Brooks, et al. ∙

research

∙ 09/29/2022

Understanding Collapse in Non-Contrastive Siamese Representation Learning

Contrastive methods have led a recent surge in the performance of self-s...

39 Alexander C. Li, et al. ∙

research

∙ 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...

44 William Peebles, et al. ∙

research

∙ 09/15/2022

Test-Time Training with Masked Autoencoders

Test-time training adapts to a new test distribution on the fly by optim...

4 Yossi Gandelsman, et al. ∙

research

∙ 09/06/2022

Studying Bias in GANs through the Lens of Race

In this work, we study how the performance and evaluation of generative ...

24 Vongani H. Maluleke, et al. ∙

research

∙ 09/01/2022

Visual Prompting via Image Inpainting

How does one adapt a pre-trained visual model to novel downstream tasks ...

10 Amir Bar, et al. ∙

research

∙ 06/07/2022

Generating Long Videos of Dynamic Scenes

We present a video generation model that accurately reproduces object mo...

12 Tim Brooks, et al. ∙

research

∙ 05/05/2022

BlobGAN: Spatially Disentangled Scene Representations

We propose an unsupervised, mid-level representation for a generative mo...

8 Dave Epstein, et al. ∙

research

∙ 04/21/2022

Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency

Approaches for single-view reconstruction typically rely on viewpoint an...

6 Tom Monnier, et al. ∙

research

∙ 03/22/2022

Dataset Distillation by Matching Training Trajectories

Dataset distillation is the task of synthesizing a small dataset such th...

16 George Cazenavette, et al. ∙

research

∙ 01/20/2022

Learning Pixel Trajectories with Multiscale Contrastive Random Walks

A range of video modeling tasks, from optical flow to multiple object tr...

5 Zhangxing Bian, et al. ∙

research

∙ 12/13/2021

Hallucinating Pose-Compatible Scenes

What does human pose tell us about a scene? We propose a task to answer ...

3 Tim Brooks, et al. ∙

research

∙ 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...

3 Xi Shen, et al. ∙

research

∙ 04/29/2021

MarioNette: Self-Supervised Sprite Learning

Visual content often contains recurring elements. Text is made up of gly...

20 Dmitriy Smirnov, et al. ∙

research

∙ 04/13/2021

Few-shot Image Generation via Cross-domain Correspondence

Training generative models, such as GANs, on a target domain containing ...

5 Utkarsh Ojha, et al. ∙

research

∙ 04/06/2021

Strumming to the Beat: Audio-Conditioned Contrastive Video Textures

We introduce a non-parametric approach for infinite video texture synthe...

3 Medhini Narasimhan, et al. ∙

research

∙ 08/13/2020

What Should Not Be Contrastive in Contrastive Learning

Recent self-supervised contrastive methods have been able to produce imp...

15 Tete Xiao, et al. ∙

research

∙ 08/06/2020

Learning to Factorize and Relight a City

We propose a learning-based framework for disentangling outdoor scenes i...

7 Andrew Liu, et al. ∙

research

∙ 07/30/2020

Contrastive Learning for Unpaired Image-to-Image Translation

In image-to-image translation, each patch in the output should reflect t...

1 Taesung Park, et al. ∙

research

∙ 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'...

8 Liqian Ma, et al. ∙

research

∙ 07/08/2020

Self-Supervised Policy Adaptation during Deployment

In most real world scenarios, a policy trained by reinforcement learning...

4 Nicklas Hansen, et al. ∙

research

∙ 07/01/2020

Swapping Autoencoder for Deep Image Manipulation

Deep generative models have become increasingly effective at producing r...

2 Taesung Park, et al. ∙

research

∙ 06/25/2020

Space-Time Correspondence as a Contrastive Random Walk

This paper proposes a simple self-supervised approach for learning repre...

0 Allan Jabri, et al. ∙

research

∙ 04/03/2020

RANSAC-Flow: generic two-stage image alignment

This paper considers the generic problem of dense alignment between two ...

13 Xi Shen, et al. ∙

research

∙ 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...

25 Sheng-Yu Wang, et al. ∙

research

∙ 09/29/2019

Test-Time Training for Out-of-Distribution Generalization

We introduce a general approach, called test-time training, for improvin...

8 Yu Sun, et al. ∙

research

∙ 09/26/2019

Unsupervised Domain Adaptation through Self-Supervision

This paper addresses unsupervised domain adaptation, the setting where l...

18 Yu Sun, et al. ∙

research

∙ 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 ...

4 Arnab Ghosh, et al. ∙

research

∙ 06/13/2019

Detecting Photoshopped Faces by Scripting Photoshop

Most malicious photo manipulations are created using standard image edit...

8 Sheng-Yu Wang, et al. ∙

research

∙ 03/18/2019

Learning Correspondence from the Cycle-Consistency of Time

We introduce a self-supervised method for learning visual correspondence...

4 Xiaolong Wang, et al. ∙

research

∙ 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...

12 Xi Shen, et al. ∙

research

∙ 02/14/2019

Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity

Contemporary sensorimotor learning approaches typically start with an ex...

12 Deepak Pathak, et al. ∙

research

∙ 11/27/2018

Dataset Distillation

Model distillation aims to distill the knowledge of a complex model into...

3 Tongzhou Wang, et al. ∙

research

∙ 08/23/2018

Time-Agnostic Prediction: Predicting Predictable Video Frames

Prediction is arguably one of the most basic functions of an intelligent...

8 Dinesh Jayaraman, et al. ∙

research

∙ 08/22/2018

Everybody Dance Now

This paper presents a simple method for "do as I do" motion transfer: gi...

4 Caroline Chan, et al. ∙

research

∙ 08/14/2018

Improving Generalization via Scalable Neighborhood Component Analysis

Current major approaches to visual recognition follow an end-to-end form...

10 Zhirong Wu, et al. ∙

research

∙ 08/13/2018

Large-Scale Study of Curiosity-Driven Learning

Reinforcement learning algorithms rely on carefully engineering environm...

0 Yuri Burda, et al. ∙

research

∙ 05/10/2018

Fighting Fake News: Image Splice Detection via Learned Self-Consistency

Advances in photo editing and manipulation tools have made it significan...

0 Minyoung Huh, et al. ∙

research

∙ 04/23/2018

Zero-Shot Visual Imitation

The current dominant paradigm for imitation learning relies on strong su...

0 Deepak Pathak, et al. ∙

research

∙ 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...

0 Andrew Owens, et al. ∙

research

∙ 03/30/2018

Learning Beyond Human Expertise with Generative Models for Dental Restorations

Computer vision has advanced significantly that many discriminative appr...

0 Jyh-Jing Hwang, et al. ∙

research

∙ 03/20/2018

Learning Category-Specific Mesh Reconstruction from Image Collections

We present a learning framework for recovering the 3D shape, camera, and...

0 Angjoo Kanazawa, et al. ∙

research

∙ 02/28/2018

Investigating Human Priors for Playing Video Games

What makes humans so good at solving seemingly complex video games? Unli...

0 Rachit Dubey, et al. ∙

Alexei A. Efros

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