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09/15/2023
Breathing New Life into 3D Assets with Generative Repainting
Diffusion-based text-to-image models ignited immense attention from the ...
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04/27/2023
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation
With autonomous industries on the rise, domain adaptation of the visual ...
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11/24/2022
Towards Practical Control of Singular Values of Convolutional Layers
In general, convolutional neural networks (CNNs) are easy to train, but ...
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11/22/2022
DiffDreamer: Consistent Single-view Perpetual View Generation with Conditional Diffusion Models
Perpetual view generation – the task of generating long-range novel view...
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09/30/2022
TT-NF: Tensor Train Neural Fields
Learning neural fields has been an active topic in deep learning researc...
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02/26/2022
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation
We propose a pipeline to generate Neural Radiance Fields (NeRF) of an ob...
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05/17/2021
Learning to Relate Depth and Semantics for Unsupervised Domain Adaptation
We present an approach for encoding visual task relationships to improve...
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04/28/2021
Exploring Relational Context for Multi-Task Dense Prediction
The timeline of computer vision research is marked with advances in lear...
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03/07/2021
Spectral Tensor Train Parameterization of Deep Learning Layers
We study low-rank parameterizations of weight matrices with embedded spe...
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07/24/2020
Reparameterizing Convolutions for Incremental Multi-Task Learning without Task Interference
Multi-task networks are commonly utilized to alleviate the need for a la...
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07/13/2020
T-Basis: a Compact Representation for Neural Networks
We introduce T-Basis, a novel concept for a compact representation of a ...
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06/11/2019