Indoor Monocular Depth Estimation
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Benchmarks
DIODE
Most implemented
InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular Depth
InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation
Learning to Recover 3D Scene Shape from a Single Image
AI Playground: Unreal Engine-based Data Ablation Tool for Deep Learning
Papers
InSpaceType: Dataset and Benchmark for Reconsidering Cross-Space Type Performance in Indoor Monocular Depth
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
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+1InSpaceType: Reconsider Space Type in Indoor Monocular Depth Estimation
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 EstimationSC-DepthV3: Robust Self-supervised Monocular Depth Estimation for Dynamic Scenes
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 EstimationLearning to Recover 3D Scene Shape from a Single Image
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+2DepthLab: Real-Time 3D Interaction With Depth Maps for Mobile Augmented Reality
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