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05/08/2023
Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning
Generally, image-to-image translation (i2i) methods aim at learning mapp...
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04/26/2023
EverLight: Indoor-Outdoor Editable HDR Lighting Estimation
Because of the diversity in lighting environments, existing illumination...
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04/24/2023
Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Temperature Prediction
Light plays an important role in human well-being. However, most compute...
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04/19/2023
DarSwin: Distortion Aware Radial Swin Transformer
Wide-angle lenses are commonly used in perception tasks requiring a larg...
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02/13/2023
Robust Unsupervised StyleGAN Image Restoration
GAN-based image restoration inverts the generative process to repair ima...
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01/31/2023
LM-GAN: A Photorealistic All-Weather Parametric Sky Model
We present LM-GAN, an HDR sky model that generates photorealistic enviro...
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12/08/2022
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection
Most camera lens systems are designed in isolation, separately from down...
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11/08/2022
Editable Indoor Lighting Estimation
We present a method for estimating lighting from a single perspective im...
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08/25/2022
A Deep Perceptual Measure for Lens and Camera Calibration
Image editing and compositing have become ubiquitous in entertainment, f...
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08/16/2022
Casual Indoor HDR Radiance Capture from Omnidirectional Images
We present PanoHDR-NeRF, a novel pipeline to casually capture a plausibl...
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08/01/2022
AdaWCT: Adaptive Whitening and Coloring Style Injection
Adaptive instance normalization (AdaIN) has become the standard method f...
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07/24/2022
Robust Scene Inference under Noise-Blur Dual Corruptions
Scene inference under low-light is a challenging problem due to severe n...
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05/12/2022
Overparameterization Improves StyleGAN Inversion
Deep generative models like StyleGAN hold the promise of semantic image ...
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04/02/2022
Matching Feature Sets for Few-Shot Image Classification
In image classification, it is common practice to train deep networks to...
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11/26/2021
ManiFest: Manifold Deformation for Few-shot Image Translation
Most image-to-image translation methods require a large number of traini...
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07/23/2021
Image-to-Image Translation with Low Resolution Conditioning
Most image-to-image translation methods focus on learning mappings acros...
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11/24/2020
Persistent Mixture Model Networks for Few-Shot Image Classification
We introduce Persistent Mixture Model (PMM) networks for representation ...
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10/08/2020
Deep SVBRDF Estimation on Real Materials
Recent work has demonstrated that deep learning approaches can successfu...
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09/06/2020
Rain rendering for evaluating and improving robustness to bad weather
Rain fills the atmosphere with water particles, which breaks the common ...
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06/09/2020
RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
Augmented reality devices require multiple sensors to perform various ta...
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02/07/2020
Input Dropout for Spatially Aligned Modalities
Computer vision datasets containing multiple modalities such as color, d...
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12/11/2019
Associative Alignment for Few-shot Image Classification
Few-shot image classification aims at training a model by using only a f...
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11/26/2019
Learning to Match Templates for Unseen Instance Detection
Detecting objects in images is a quintessential problem in computer visi...
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10/19/2019
Deep Parametric Indoor Lighting Estimation
We present a method to estimate lighting from a single image of an indoo...
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08/27/2019
Physics-Based Rendering for Improving Robustness to Rain
To improve the robustness to rain, we present a physically-based rain re...
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06/12/2019
All-Weather Deep Outdoor Lighting Estimation
We present a neural network that predicts HDR outdoor illumination from ...
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06/10/2019
Fast Spatially-Varying Indoor Lighting Estimation
We propose a real-time method to estimate spatiallyvarying indoor lighti...
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06/07/2019
Structural Decompositions for End-to-End Relighting
Relighting is an essential step in artificially transferring an object f...
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05/10/2019
Deep Sky Modeling for Single Image Outdoor Lighting Estimation
We propose a data-driven learned sky model, which we use for outdoor lig...
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10/15/2018
Deep Photovoltaic Nowcasting
Predicting the short-term power output of a photovoltaic panel is an imp...
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06/11/2018
Learning to Estimate Indoor Lighting from 3D Objects
In this work, we propose a step towards a more accurate prediction of th...
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04/26/2018
Domain Adaptation through Synthesis for Unsupervised Person Re-identification
Drastic variations in illumination across surveillance cameras make the ...
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03/28/2018
Deep Photometric Stereo on a Sunny Day
Photometric Stereo in outdoor illumination remains a challenging, ill-po...
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03/27/2018
A Framework for Evaluating 6-DOF Object Trackers
We present a challenging and realistic novel dataset for evaluating 6-DO...
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12/02/2017
A Perceptual Measure for Deep Single Image Camera Calibration
Most current single image camera calibration methods rely on specific im...
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04/01/2017
Learning to Predict Indoor Illumination from a Single Image
We propose an automatic method to infer high dynamic range illumination ...
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03/29/2017
Learning High Dynamic Range from Outdoor Panoramas
Outdoor lighting has extremely high dynamic range. This makes the proces...
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03/28/2017
Deep 6-DOF Tracking
We present a temporal 6-DOF tracking method which leverages deep learnin...
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11/19/2016