Official implementation of ``Improving Depth Completion via Depth Feature Upsampling'', CVPR 2024.

Official implementation of ``LRRU: Long-short Range Recurrent Updating Networks for Depth Completion'', ICCV 2023.

Implementation of our paper 'Bilateral Propagation Network for Depth Completion'

A list of papers that studies Novel Class Discovery

T3Bench: Benchmarking Current Progress in Text-to-3D Generation

[ICCV2023 Oral & TPAMI2024] NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion

Implementation_v2 of DeepLiDAR(CVPR2019)

Visual Odometry with Inertial and Depth (VOID) dataset

ICCV23 Building Vision Transformers with Hierarchy Aware Feature Aggregation

Metric depth estimation from a single image

Image Processing for Basic Depth Completion

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

[CVPR2023] CompletionFormer: Depth Completion with Convolutions and Vision Transformers

Inpaint anything using Segment Anything and inpainting models.

Non-official PyTorch implementation of the "Dynamic Spatial Propagation Network for Depth Completion"

This is the code for the work accepted by ICRA2022.

[ICCV 2023] VPD is a framework that leverages the high-level and low-level knowledge of a pre-trained text-to-image diffusion model to downstream visual perception tasks.

Convolutional Spatial Propagation Network

PyTorch Implementation of the paper Learning Affinity via Spatial Propagation Networks

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (Torch Implementation)

Official implementation of "CU-Net: LiDAR Depth-only Completion with Coupled U-Net", RAL 2022.

Implementation for our paper 'Learning Guided Convolutional Network for Depth Completion'

The official PyTorch implementation for "Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End"

Park et al., Non-Local Spatial Propagation Network for Depth Completion, ECCV, 2020

PyTorch Implementation of Unsupervised Depth Completion with Calibrated Backprojection Layers (ORAL, ICCV 2021)

Adaptive Context-Aware Multi-Modal Network for Depth Completion

The code for our WACV paper "A Multi-Scale Guided Cascade Hourglass Network for Depth Completion"