Monocular Depth Estimation
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Benchmarks
NYU-Depth V2
KITTI Eigen split
KITTI Eigen split unsupervised
ETH3D
NYU-Depth V2 self-supervised
Make3D
Mid-Air Dataset
DDAD
IBims-1
SCARED-C
Cityscapes
SUN-RGBD
VA (Virtual Apartment)
KITTI
Middlebury 2014
Cityscapes 3D
DIML Outdoor
DIODE Indoor
DIODE Outdoor
Hypersim
Matterport3D
UASOL
Virtual KITTI 2
Most implemented
High Quality Monocular Depth Estimation via Transfer Learning
DINOv2: Learning Robust Visual Features without Supervision
Deeper Depth Prediction with Fully Convolutional Residual Networks
Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Vision Transformers for Dense Prediction
Papers
Towards Physical Underwater Robotic Assistance for Scuba Diver Movement in Confined Spaces
Scuba divers are taught to control their depth to avoid rapid ascents and descents, which could result in serious injuries such as gas embolisms and barotrauma. However, many underwater tasks necessitate lateral control,…
Monocular Depth EstimationGTR: Gated Token Recurrence for Efficient Dense Prediction
Self-attention-based vision backbones perform well on dense prediction, but the quadratic computational cost of global softmax attention limits their efficiency as image resolution increases. We introduce Gated Token Rec…
Monocular Depth EstimationInstance SegmentationSemantic SegmentationPose EstimationMarigold V2: Revisiting Diffusion Transformers for Monocular Depth Estimation
Monocular depth estimation is a ubiquitous yet highly ill-posed computer vision task, with downstream applications in scene reconstruction, computational photography, and robotics, among others. Despite the field's matur…
Surface Normals EstimationMonocular Depth EstimationImage GenerationWeather-Conditioned Depth Anything
Monocular depth estimation foundation models, such as the Depth Anything series, have achieved remarkable performance across diverse domains. However, they still suffer from critical failures under adverse weather condit…
Monocular Depth EstimationEfficient and High-Quality Depth Estimation via Pixel-Space Diffusion with Linear Attention
This work presents $\textbf{Lapis}$, a $\textbf{l}$inear-$\textbf{a}$ttention-based $\textbf{pi}$xel-$\textbf{s}$pace generative framework that achieves efficient and high-fidelity depth estimation with one-step diffusio…
Monocular Depth EstimationFrom Perspective to Fisheye Depth Estimation and Open-Vocabulary Segmentation
Vision foundation models are capable of generalizing across 3-dimensional (3D) scenes with high-fidelity estimates; their empirical success can be attributed to training on large-scale datasets of perspective images. How…
Monocular Depth Estimation