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Depth Prediction

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Showing 101–150 of 422 papers

TitleStatusHype
ConsistNet: Enforcing 3D Consistency for Multi-view Images DiffusionCode1
PU-Ray: Domain-Independent Point Cloud Upsampling via Ray Marching on Neural Implicit SurfaceCode0
EC-Depth: Exploring the consistency of self-supervised monocular depth estimation in challenging scenesCode1
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling—0
Sub-token ViT Embedding via Stochastic Resonance TransformersCode0
Task-guided Domain Gap Reduction for Monocular Depth Prediction in EndoscopyCode0
Win-Win: Training High-Resolution Vision Transformers from Two Windows—0
NDDepth: Normal-Distance Assisted Monocular Depth EstimationCode1
Large-scale Monocular Depth Estimation in the Wild—0
GEDepth: Ground Embedding for Monocular Depth EstimationCode1
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection—0
RigNet++: Semantic Assisted Repetitive Image Guided Network for Depth Completion—0
R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras—0
Calibrating Panoramic Depth Estimation for Practical Localization and MappingCode1
Diffusion-Augmented Depth Prediction with Sparse Annotations—0
Robust Self-Supervised Extrinsic Self-Calibration—0
Rapid Flood Inundation Forecast Using Fourier Neural Operator—0
Improved Neural Radiance Fields Using Pseudo-depth and Fusion—0
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation—0
PlaneRecTR++: Unified Query Learning for Joint 3D Planar Reconstruction and Pose EstimationCode1
SimCol3D -- 3D Reconstruction during Colonoscopy ChallengeCode1
Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth CellsCode1
LXL: LiDAR Excluded Lean 3D Object Detection with 4D Imaging Radar and Camera Fusion—0
GMM: Delving into Gradient Aware and Model Perceive Depth Mining for Monocular 3D Detection—0
SimpleMapping: Real-Time Visual-Inertial Dense Mapping with Deep Multi-View Stereo—0
Lightweight Monocular Depth Estimation via Token-Sharing Transformer—0
Gated Stereo: Joint Depth Estimation from Gated and Wide-Baseline Active Stereo Cues—0
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction—0
High-Resolution Synthetic RGB-D Datasets for Monocular Depth Estimation—0
Neural-PBIR Reconstruction of Shape, Material, and Illumination—0
CompletionFormer: Depth Completion with Convolutions and Vision TransformersCode2
FSNet: Redesign Self-Supervised MonoDepth for Full-Scale Depth Prediction for Autonomous Driving—0
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward EquilibriumCode1
Single Image Depth Prediction Made Better: A Multivariate Gaussian Take—0
NeFII: Inverse Rendering for Reflectance Decomposition with Near-Field Indirect IlluminationCode1
Cross-Dimensional Refined Learning for Real-Time 3D Visual Perception from Monocular Video—0
Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains—0
Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth EstimationCode1
Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View—0
STDepthFormer: Predicting Spatio-temporal Depth from Video with a Self-supervised Transformer Model—0
APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation—0
An evaluation of deep learning models for predicting water depth evolution in urban floods—0
VA-DepthNet: A Variational Approach to Single Image Depth PredictionCode1
A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning ConventionsCode0
Multi-Task Self-Supervised Learning for Image Segmentation Task—0
SceneScape: Text-Driven Consistent Scene Generation—0
Structure Flow-Guided Network for Real Depth Super-Resolution—0
Leveraging the Third Dimension in Contrastive Learning—0
Self-Supervised Learning from Images with a Joint-Embedding Predictive ArchitectureCode2
Behind the Scenes: Density Fields for Single View ReconstructionCode2
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