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04/20/2023
Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering
The rendering scheme in neural radiance field (NeRF) is effective in ren...
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03/04/2023
NeuDA: Neural Deformable Anchor for High-Fidelity Implicit Surface Reconstruction
This paper studies implicit surface reconstruction leveraging differenti...
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11/27/2022
3D Scene Creation and Rendering via Rough Meshes: A Lighting Transfer Avenue
This paper studies how to flexibly integrate reconstructed 3D models int...
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05/12/2022
Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation
Neural Radiance Fields (NeRF) have emerged as a potent paradigm for repr...
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04/14/2022
Modeling Indirect Illumination for Inverse Rendering
Recent advances in implicit neural representations and differentiable re...
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12/10/2020
Exploiting Diverse Characteristics and Adversarial Ambivalence for Domain Adaptive Segmentation
Adapting semantic segmentation models to new domains is an important but...
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10/23/2020
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning
Image-based 3D shape retrieval (IBSR) aims to find the corresponding 3D ...
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09/21/2020
3D-FUTURE: 3D Furniture shape with TextURE
The 3D CAD shapes in current 3D benchmarks are mostly collected from onl...
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08/25/2020
Adaptive Context-Aware Multi-Modal Network for Depth Completion
Depth completion aims to recover a dense depth map from the sparse depth...
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07/16/2019
Learning Depth from Monocular Videos Using Synthetic Data: A Temporally-Consistent Domain Adaptation Approach
Majority of state-of-the-art monocular depth estimation methods are supe...
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04/03/2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
Supervised depth estimation has achieved high accuracy due to the advanc...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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09/16/2018
Geometry-Consistent Adversarial Networks for One-Sided Unsupervised Domain Mapping
Unsupervised domain mapping aims at learning a function to translate dom...
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06/19/2018
MoE-SPNet: A Mixture-of-Experts Scene Parsing Network
Scene parsing is an indispensable component in understanding the semanti...
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06/06/2018
Deep Ordinal Regression Network for Monocular Depth Estimation
Monocular depth estimation, which plays a crucial role in understanding ...
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08/28/2017
A Compromise Principle in Deep Monocular Depth Estimation
Monocular depth estimation, which plays a key role in understanding 3D s...
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12/05/2016