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06/20/2023
Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision
Denoising diffusion models are a powerful type of generative models used...
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05/22/2023
Materialistic: Selecting Similar Materials in Images
Separating an image into meaningful underlying components is a crucial f...
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05/17/2023
FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention
Diffusion models excel at text-to-image generation, especially in subjec...
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09/21/2022
Gemino: Practical and Robust Neural Compression for Video Conferencing
Video conferencing systems suffer from poor user experience when network...
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09/21/2022
Can Shadows Reveal Biometric Information?
We study the problem of extracting biometric information of individuals ...
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07/22/2022
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement
Human perception reliably identifies movable and immovable parts of 3D s...
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06/10/2022
Differentiable Rendering of Neural SDFs through Reparameterization
We present a method to automatically compute correct gradients with resp...
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05/08/2022
Unsupervised Discovery and Composition of Object Light Fields
Neural scene representations, both continuous and discrete, have recentl...
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03/23/2022
Learning to generate line drawings that convey geometry and semantics
This paper presents an unpaired method for creating line drawings from p...
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08/30/2021
What You Can Learn by Staring at a Blank Wall
We present a passive non-line-of-sight method that infers the number of ...
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06/04/2021
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering
Inferring representations of 3D scenes from 2D observations is a fundame...
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12/15/2020
AsyncTaichi: Whole-Program Optimizations for Megakernel Sparse Computation and Differentiable Programming
We present a whole-program optimization framework for the Taichi program...
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07/15/2020
On the Capability of Neural Networks to Generalize to Unseen Category-Pose Combinations
Recognizing an object's category and pose lies at the heart of visual un...
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01/04/2020
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings
We introduce a new video synthesis task: synthesizing time lapse videos ...
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12/05/2019
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization
We recover a video of the motion taking place in a hidden scene by obser...
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10/17/2019
A Dataset of Multi-Illumination Images in the Wild
Collections of images under a single, uncontrolled illumination have ena...
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10/01/2019
DiffTaichi: Differentiable Programming for Physical Simulation
We study the problem of learning and optimizing through physical simulat...
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09/01/2019
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions
We introduce visual deprojection: the task of recovering an image or vid...
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06/27/2019
Flexible SVBRDF Capture with a Multi-Image Deep Network
Empowered by deep learning, recent methods for material capture can esti...
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04/18/2019
Generating Training Data for Denoising Real RGB Images via Camera Pipeline Simulation
Image reconstruction techniques such as denoising often need to be appli...
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02/25/2019
Data augmentation using learned transforms for one-shot medical image segmentation
Biomedical image segmentation is an important task in many medical appli...
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10/23/2018
Single-Image SVBRDF Capture with a Rendering-Aware Deep Network
Texture, highlights, and shading are some of many visual cues that allow...
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09/20/2018
FFT Convolutions are Faster than Winograd on Modern CPUs, Here is Why
Winograd-based convolution has quickly gained traction as a preferred ap...
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07/27/2018
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics
Widely used in news, business, and educational media, infographics are h...
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04/20/2018
Synthesizing Images of Humans in Unseen Poses
We address the computational problem of novel human pose synthesis. Give...
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04/08/2018
Learning-based Video Motion Magnification
Video motion magnification techniques allow us to see small motions prev...
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09/26/2017
Understanding Infographics through Textual and Visual Tag Prediction
We introduce the problem of visual hashtag discovery for infographics: e...
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08/08/2017
Learning Visual Importance for Graphic Designs and Data Visualizations
Knowing where people look and click on visual designs can provide clues ...
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07/10/2017
Deep Bilateral Learning for Real-Time Image Enhancement
Performance is a critical challenge in mobile image processing. Given a ...
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12/13/2016
A Video-Based Method for Objectively Rating Ataxia
For many movement disorders, such as Parkinson's disease and ataxia, dis...
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10/10/2016
Inverse Diffusion Curves using Shape Optimization
The inverse diffusion curve problem focuses on automatic creation of dif...
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04/12/2016