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04/27/2023
Neural Implicit Dense Semantic SLAM
This paper presents an efficient online framework to solve the well-know...
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04/18/2023
Quantum Annealing for Single Image Super-Resolution
This paper proposes a quantum computing-based algorithm to solve the sin...
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03/31/2023
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
Neural-network-based single image depth prediction (SIDP) is a challengi...
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03/30/2023
Enhanced Stable View Synthesis
We introduce an approach to enhance the novel view synthesis from images...
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02/13/2023
VA-DepthNet: A Variational Approach to Single Image Depth Prediction
We introduce VA-DepthNet, a simple, effective, and accurate deep neural ...
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02/01/2023
Uncertainty-Driven Dense Two-View Structure from Motion
This work introduces an effective and practical solution to the dense tw...
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10/14/2022
Multi-View Photometric Stereo Revisited
Multi-view photometric stereo (MVPS) is a preferred method for detailed ...
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10/09/2022
Robustifying the Multi-Scale Representation of Neural Radiance Fields
Neural Radiance Fields (NeRF) recently emerged as a new paradigm for obj...
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09/17/2022
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields
In this paper, we tackle the problem of active robotic 3D reconstruction...
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07/13/2022
Organic Priors in Non-Rigid Structure from Motion
This paper advocates the use of organic priors in classical non-rigid st...
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04/07/2022
Learning Online Multi-Sensor Depth Fusion
Many hand-held or mixed reality devices are used with a single sensor fo...
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02/26/2022
Uncertainty-Aware Deep Multi-View Photometric Stereo
This paper presents a simple and effective solution to the problem of mu...
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10/11/2021
Neural Architecture Search for Efficient Uncalibrated Deep Photometric Stereo
We present an automated machine learning approach for uncalibrated photo...
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10/11/2021
Neural Radiance Fields Approach to Deep Multi-View Photometric Stereo
We present a modern solution to the multi-view photometric stereo proble...
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08/11/2021
A Real-Time Online Learning Framework for Joint 3D Reconstruction and Semantic Segmentation of Indoor Scenes
This paper presents a real-time online vision framework to jointly recov...
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06/07/2021
Generative Flows with Invertible Attentions
Flow-based generative models have shown excellent ability to explicitly ...
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01/17/2021
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution
This paper proposes a trilevel neural architecture search (NAS) method f...
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12/12/2020
Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces
This paper presents an uncalibrated deep neural network framework for th...
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10/27/2020
Neural Architecture Search of SPD Manifold Networks
In this paper, we propose a new neural architecture search (NAS) problem...
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06/15/2020
Dense Non-Rigid Structure from Motion: A Manifold Viewpoint
Non-Rigid Structure-from-Motion (NRSfM) problem aims to recover 3D geome...
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11/19/2019
Superpixel Soup: Monocular Dense 3D Reconstruction of a Complex Dynamic Scene
This work addresses the task of dense 3D reconstruction of a complex dyn...
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02/27/2019
A Simple Prior-Free Method for Non-rigid Structure-from-Motion Factorization : Revisited
A simple prior free factorization algorithmdai2014simple is quite often ...
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02/11/2019
A Motion Free Approach to Dense Depth Estimation in Complex Dynamic Scene
Despite the recent success in per-frame monocular dense depth estimation...
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02/04/2019
Jumping Manifolds: Geometry Aware Dense Non-Rigid Structure from Motion
Given dense image feature correspondences of a non-rigidly moving object...
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03/01/2018
Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective
This paper addresses the task of dense non-rigid structure from motion (...
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08/15/2017
Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames
This paper proposes a new approach for monocular dense 3D reconstruction...
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05/14/2017
