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Depth Prediction

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Showing 151–200 of 422 papers

TitleStatusHype
Deep Planar Parallax for Monocular Depth Estimation—0
Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera—0
Guiding Local Feature Matching with Surface Curvature—0
Objects as Spatio-Temporal 2.5D points—0
Geometry-Aware Network for Domain Adaptive Semantic Segmentation—0
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection—0
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?—0
MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network—0
AeDet: Azimuth-invariant Multi-view 3D Object DetectionCode1
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion—0
Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation—0
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
Multi-Camera Calibration Free BEV Representation for 3D Object Detection—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies—0
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
Attention Attention Everywhere: Monocular Depth Prediction with Skip AttentionCode1
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation—0
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense PredictionCode0
Map-free Visual Relocalization: Metric Pose Relative to a Single ImageCode2
Frequency-Aware Self-Supervised Monocular Depth EstimationCode1
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation—0
Depth Is All You Need for Monocular 3D Detection—0
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening ProblemCode1
Contrastive Unsupervised Learning of World Model with Invariant Causal Features—0
CrossDTR: Cross-view and Depth-guided Transformers for 3D Object DetectionCode1
UDepth: Fast Monocular Depth Estimation for Visually-guided Underwater RobotsCode1
Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR—0
Self-distilled Feature Aggregation for Self-supervised Monocular Depth EstimationCode1
CLONeR: Camera-Lidar Fusion for Occupancy Grid-aided Neural Representations—0
Multi-View Reconstruction using Signed Ray Distance Functions (SRDF)—0
SimpleRecon: 3D Reconstruction Without 3D ConvolutionsCode3
Towards Accurate Reconstruction of 3D Scene Shape from A Single Monocular ImageCode3
Learning an Efficient Multimodal Depth Completion ModelCode1
STS: Surround-view Temporal Stereo for Multi-view 3D Detection—0
MonoViT: Self-Supervised Monocular Depth Estimation with a Vision TransformerCode1
Gradient-based Uncertainty for Monocular Depth EstimationCode1
Towards Domain-agnostic Depth CompletionCode1
SelectionConv: Convolutional Neural Networks for Non-rectilinear Image DataCode0
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments—0
Joint Prediction of Monocular Depth and Structure using Planar and Parallax Geometry—0
Depthformer : Multiscale Vision Transformer For Monocular Depth Estimation With Local Global Information FusionCode1
Layered Depth Refinement with Mask Guidance—0
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and DenoisingCode2
PanopticDepth: A Unified Framework for Depth-aware Panoptic SegmentationCode1
UViM: A Unified Modeling Approach for Vision with Learned Guiding CodesCode0
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation—0
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view StereoCode1
Exploiting Correspondences with All-pairs Correlations for Multi-view Depth Estimation—0
Creating a Forensic Database of Shoeprints from Online Shoe Tread PhotosCode1
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