119 citations · 369 across the 29 of their papers we have counts for
39 papers
Domain Agnostic Image-to-image Translation using Low-Resolution Conditioning
Mohamed Abid, Arman Afrasiyabi, Ihsen Hedhli +2
Generally, image-to-image translation (i2i) methods aim at learning mappings across domains with the assumption that the images used for translation share content (e.g., pose) but…
EverLight: Indoor-Outdoor Editable HDR Lighting Estimation
Mohammad Reza Karimi Dastjerdi, Jonathan Eisenmann, Yannick Hold-Geoffroy +1
Because of the diversity in lighting environments, existing illumination estimation techniques have been designed explicitly on indoor or outdoor environments. Methods have focused…
Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Prediction
Christophe Bolduc, Justine Giroux, Marc Hébert +2
Light plays an important role in human well-being. However, most computer vision tasks treat pixels without considering their relationship to physical luminance. To address this sh…
DarSwin: Distortion Aware Radial Swin Transformer
Akshaya Athwale, Arman Afrasiyabi, Justin Lagüe +3
Wide-angle lenses are commonly used in perception tasks requiring a large field of view. Unfortunately, these lenses produce significant distortions, making conventional models tha…
Robust Unsupervised StyleGAN Image Restoration
Yohan Poirier-Ginter, Jean-François Lalonde
GAN-based image restoration inverts the generative process to repair images corrupted by known degradations. Existing unsupervised methods must be carefully tuned for each task and…
LM-GAN: A Photorealistic All-Weather Parametric Sky Model
Lucas Valença, Ian Maquignaz, Hadi Moazen +3
We present LM-GAN, an HDR sky model that generates photorealistic environment maps with weathered skies. Our sky model retains the flexibility of traditional parametric models and…
The Differentiable Lens: Compound Lens Search over Glass Surfaces and Materials for Object Detection
Geoffroi Côté, Fahim Mannan, Simon Thibault +2
Most camera lens systems are designed in isolation, separately from downstream computer vision methods. Recently, joint optimization approaches that design lenses alongside other c…
Editable Indoor Lighting Estimation
Henrique Weber, Mathieu Garon, Jean-François Lalonde
We present a method for estimating lighting from a single perspective image of an indoor scene. Previous methods for predicting indoor illumination usually focus on either simple,…
Casual Indoor HDR Radiance Capture from Omnidirectional Images
Pulkit Gera, Mohammad Reza Karimi Dastjerdi, Charles Renaud +2
We present PanoHDR-NeRF, a neural representation of the full HDR radiance field of an indoor scene, and a pipeline to capture it casually, without elaborate setups or complex captu…
AdaWCT: Adaptive Whitening and Coloring Style Injection
Antoine Dufour, Yohan Poirier-Ginter, Alexandre Lessard +3
Adaptive instance normalization (AdaIN) has become the standard method for style injection: by re-normalizing features through scale-and-shift operations, it has found widespread u…
Robust Scene Inference under Noise-Blur Dual Corruptions
Bhavya Goyal, Jean-François Lalonde, Yin Li +1
Scene inference under low-light is a challenging problem due to severe noise in the captured images. One way to reduce noise is to use longer exposure during the capture. However,…
Overparameterization Improves StyleGAN Inversion
Yohan Poirier-Ginter, Alexandre Lessard, Ryan Smith +1
Deep generative models like StyleGAN hold the promise of semantic image editing: modifying images by their content, rather than their pixel values. Unfortunately, working with arbi…
Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde +1
In image classification, it is common practice to train deep networks to extract a single feature vector per input image. Few-shot classification methods also mostly follow this tr…
Guided Co-Modulated GAN for 360° Field of View Extrapolation
Mohammad Reza Karimi Dastjerdi, Yannick Hold-Geoffroy, Jonathan Eisenmann +2
We propose a method to extrapolate a 360° field of view from a single image that allows for user-controlled synthesis of the out-painted content. To do so, we propose improvements…
ManiFest: Manifold Deformation for Few-shot Image Translation
Fabio Pizzati, Jean-François Lalonde, Raoul de Charette
Most image-to-image translation methods require a large number of training images, which restricts their applicability. We instead propose ManiFest: a framework for few-shot image…
Image-to-Image Translation with Low Resolution Conditioning
Mohamed Abderrahmen Abid, Ihsen Hedhli, Jean-François Lalonde +1
Most image-to-image translation methods focus on learning mappings across domains with the assumption that images share content (e.g., pose) but have their own domain-specific info…
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
We introduce Mixture-based Feature Space Learning (MixtFSL) for obtaining a rich and robust feature representation in the context of few-shot image classification. Previous works h…
Deep SVBRDF Estimation on Real Materials
Louis-Philippe Asselin, Denis Laurendeau, Jean-François Lalonde
Recent work has demonstrated that deep learning approaches can successfully be used to recover accurate estimates of the spatially-varying BRDF (SVBRDF) of a surface from as little…
Rain rendering for evaluating and improving robustness to bad weather
Maxime Tremblay, Shirsendu Sukanta Halder, Raoul de Charette +1
Rain fills the atmosphere with water particles, which breaks the common assumption that light travels unaltered from the scene to the camera. While it is well-known that rain affec…
RGB-D-E: Event Camera Calibration for Fast 6-DOF Object Tracking
Etienne Dubeau, Mathieu Garon, Benoit Debaque +2
Augmented reality devices require multiple sensors to perform various tasks such as localization and tracking. Currently, popular cameras are mostly frame-based (e.g. RGB and Depth…
Input Dropout for Spatially Aligned Modalities
Sébastien de Blois, Mathieu Garon, Christian Gagné +1
Computer vision datasets containing multiple modalities such as color, depth, and thermal properties are now commonly accessible and useful for solving a wide array of challenging…
Associative Alignment for Few-shot Image Classification
Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné
Few-shot image classification aims at training a model from only a few examples for each of the "novel" classes. This paper proposes the idea of associative alignment for leveragin…
Deep Template-based Object Instance Detection
Jean-Philippe Mercier, Mathieu Garon, Philippe Giguère +1
Much of the focus in the object detection literature has been on the problem of identifying the bounding box of a particular class of object in an image. Yet, in contexts such as r…
Deep Parametric Indoor Lighting Estimation
Marc-André Gardner, Yannick Hold-Geoffroy, Kalyan Sunkavalli +2
We present a method to estimate lighting from a single image of an indoor scene. Previous work has used an environment map representation that does not account for the localized na…