-
Beijing Institute of Technology
- Beijing
-
08:21
(UTC +08:00)
Highlights
- Pro
Stars
CVPR2023 | MVImgNet: A Large-scale Dataset of Multi-view Images
TPAMI:Frequency-aware Feature Fusion for Dense Image Prediction
GA-Net: Guided Aggregation Net for End-to-end Stereo Matching
A library for solving the satellite structure from motion problem
the official implementation of "Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching” (ICCV 2021)
implementation of REDNet (A Novel Recurrent Encoder-Decoder Structure for Large-Scale Multi-view Stereo Reconstruction from An Open Aerial Dataset)
1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.
CT-MVSNet CURVATURE-GUIDED FOR MULTI-VIEW STEREO with Transformers
[MMM‘24 Oral]CT-MVSNet: Efficient Multi-View Stereo with Cross-scale Transformer
The official implementation of "Feature Distribution Normalization Network for Multi-View Stereo”.
Official code for paper: "RobustMVS: Single Domain Generalized Deep Multi-view Stereo"
A Hierarchical And Memory-efficient MVSNet with Entropy-filtered Reconstructions
This repository use GPUs to expedite the point cloud evaluation process on DTUs, utilizing Python and CUDA.
A General Toolkit for Online Learning Approaches
Code to reproduce results for Multi-View Guided Multi-View Stereo Paper
Rethinking Disparity: A Depth Range Free Multi-View Stereo Based on Disparity
Efficient Edge-Preserving Multi-view Stereo Network for Depth Estimation, AAAI2023
Codes of MVSFormer++: Revealing the Devil in Transformer’s Details for Multi-View Stereo (ICLR2024)
[ICCV 2023] When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Boosting Multi-view Stereo with Late Cost Aggregation
The code for our WACV paper "A Multi-Scale Guided Cascade Hourglass Network for Depth Completion"
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo