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pro vyhledávání: '"LaLonde A"'
Autor:
Fortier-Chouinard, Frédéric, Zhang, Zitian, Messier, Louis-Etienne, Garon, Mathieu, Bhattad, Anand, Lalonde, Jean-François
Recent work has shown that diffusion models can be used as powerful neural rendering engines that can be leveraged for inserting virtual objects into images. Unlike typical physics-based renderers, however, neural rendering engines are limited by the
Externí odkaz:
http://arxiv.org/abs/2411.18665
Adversarial perturbations aim to deceive neural networks into predicting inaccurate results. For visual object trackers, adversarial attacks have been developed to generate perturbations by manipulating the outputs. However, transformer trackers pred
Externí odkaz:
http://arxiv.org/abs/2411.17468
In this paper, we first propose a novel method for transferring material transformations across different scenes. Building on disentangled Neural Radiance Field (NeRF) representations, our approach learns to map Bidirectional Reflectance Distribution
Externí odkaz:
http://arxiv.org/abs/2411.08037
Autor:
Zhang, Zitian, Fortier-Chouinard, Frédéric, Garon, Mathieu, Bhattad, Anand, Lalonde, Jean-François
We present ZeroComp, an effective zero-shot 3D object compositing approach that does not require paired composite-scene images during training. Our method leverages ControlNet to condition from intrinsic images and combines it with a Stable Diffusion
Externí odkaz:
http://arxiv.org/abs/2410.08168
Autor:
Poirier-Ginter, Yohan, Gauthier, Alban, Philip, Julien, Lalonde, Jean-Francois, Drettakis, George
Publikováno v:
Computer Graphics Forum, Volume 43 (2024), Number 4
Relighting radiance fields is severely underconstrained for multi-view data, which is most often captured under a single illumination condition; It is especially hard for full scenes containing multiple objects. We introduce a method to create religh
Externí odkaz:
http://arxiv.org/abs/2409.08947
Wide-angle fisheye images are becoming increasingly common for perception tasks in applications such as robotics, security, and mobility (e.g. drones, avionics). However, current models often either ignore the distortions in wide-angle images or are
Externí odkaz:
http://arxiv.org/abs/2407.17328
Autor:
Dastjerdi, Mohammad Reza Karimi, Fortier-Chouinard, Frédéric, Hold-Geoffroy, Yannick, Hébert, Marc, Demers, Claude, Kalantari, Nima, Lalonde, Jean-François
Most novel view synthesis methods such as NeRF are unable to capture the true high dynamic range (HDR) radiance of scenes since they are typically trained on photos captured with standard low dynamic range (LDR) cameras. While the traditional exposur
Externí odkaz:
http://arxiv.org/abs/2407.06150
TrackPGD: Efficient Adversarial Attack using Object Binary Masks against Robust Transformer Trackers
Autor:
Nokabadi, Fatemeh Nourilenjan, Pequignot, Yann Batiste, Lalonde, Jean-Francois, Gagné, Christian
Adversarial perturbations can deceive neural networks by adding small, imperceptible noise to the input. Recent object trackers with transformer backbones have shown strong performance on tracking datasets, but their adversarial robustness has not be
Externí odkaz:
http://arxiv.org/abs/2407.03946
Autor:
Zhao, Yifan, Jacobs, Daniel C., Samson, Titu, Krishna, Mrudula Gopal, Horn, Michael, Lalonde, Marc-Olivier R., Braithwaite, Raven, Skabelund, Logan
Precision measurements of the beam pattern response are needed to predict the response of a radio telescope. Mapping the beam of a low frequency radio array presents a unique challenge and science cases such as the observation of the 21\,cm line at h
Externí odkaz:
http://arxiv.org/abs/2407.03462
Autor:
Herman, Lawrence, Barbarie, Christopher, Agrawal, Mohan, Calinescu, Vlad, Chen, Simon, Chiang, H. Cynthia, Day, Cherie K., Egan, Eamon, Fay, Stephen, Gerodias, Kit, Goss, Maya, Hétu, Michael, Jacobs, Daniel C., Lalonde, Marc-Olivier R., McGee, Francis, Miara, Loïc, Orlowski-Scherer, John, Sievers, Jonathan
The development of low-frequency radio astronomy experiments for detecting 21-cm line emission from hydrogen presents new opportunities for creative solutions to the challenge of characterizing an antenna beam pattern. The Array of Long Baseline Ante
Externí odkaz:
http://arxiv.org/abs/2407.00856