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Papers Indoor Monocular Depth Estimation

“Indoor Monocular Depth Estimation” 태그가 달린 논문 8편 · 필터 해제

InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular Depth

2024-08-25 · Cho-Ying Wu, Quankai Gao, Chin-Cheng Hsu, Te-Lin Wu 외

Indoor monocular depth estimation helps home automation, including robot navigation or AR/VR for surrounding perception. Most previous methods primarily experiment with the NYUv2 Dataset and concentrate on the overall pe…

Depth EstimationIndoor Monocular Depth EstimationMonocular Depth EstimationRobot Navigation

$\mathrm{F^2Depth}$: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis

2024-03-27 · Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li 외

Self-supervised monocular depth estimation methods have been increasingly given much attention due to the benefit of not requiring large, labelled datasets. Such self-supervised methods require high-quality salient featu…

Depth EstimationIndoor Monocular Depth EstimationMonocular Depth EstimationOptical Flow Estimation+1

InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation

2023-09-24 · Cho-Ying Wu, Quankai Gao, Chin-Cheng Hsu, Te-Lin Wu 외

Indoor monocular depth estimation has attracted increasing research interest. Most previous works have been focusing on methodology, primarily experimenting with NYU-Depth-V2 (NYUv2) Dataset, and only concentrated on the…

Depth EstimationIndoor Monocular Depth EstimationMonocular Depth Estimation

SC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes

2022-11-07 · Libo Sun, Jia-Wang Bian, Huangying Zhan, Wei Yin 외

Self-supervised monocular depth estimation has shown impressive results in static scenes. It relies on the multi-view consistency assumption for training networks, however, that is violated in dynamic object regions and …

Depth EstimationIndoor Monocular Depth EstimationMonocular Depth EstimationUnsupervised Monocular Depth Estimation

Learning to Recover 3D Scene Shape from a Single Image

2020-12-17 · CVPR 2021 1 · Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus 외

Despite significant progress in monocular depth estimation in the wild, recent state-of-the-art methods cannot be used to recover accurate 3D scene shape due to an unknown depth shift induced by shift-invariant reconstru…

3D Scene ReconstructionDepth EstimationDepth PredictionIndoor Monocular Depth Estimation+2

DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented Reality

2020-10-22 · Ruofei Du, Eric Turner, Maksym Dzitsiuk, Luca Prasso 외

Real-time depth data is readily available on mobile phones with passive or active sensors and on VR/AR devices. However, this rich data about our environment is under-explored in mainstream AR applications. Slow adoption…

Depth And Camera MotionDepth EstimationIndoor Monocular Depth EstimationMonocular Depth Estimation

AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning

2020-07-13 · Mehdi Mousavi, Aashis Khanal, Rolando Estrada

Machine learning requires data, but acquiring and labeling real-world data is challenging, expensive, and time-consuming. More importantly, it is nearly impossible to alter real data post-acquisition (e.g., change the il…

Data AblationDepth EstimationIndoor Monocular Depth EstimationSemantic Segmentation+1

Double Refinement Network for Efficient Indoor Monocular Depth Estimation

2018-11-20 · Nikita Durasov, Mikhail Romanov, Valeriya Bubnova, Pavel Bogomolov 외

Monocular depth estimation is the task of obtaining a measure of distance for each pixel using a single image. It is an important problem in computer vision and is usually solved using neural networks. Though recent work…

Depth EstimationIndoor Monocular Depth EstimationMonocular Depth Estimation
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