3D Reconstruction
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3D ReconstructionMulti-View Stereo
Projects
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Publications
Blending 3D geometry and machine learning for multi-view stereopsis
2025
Vibhas Vats, Md. Alimoor Reza, David Crandall, Soon-heung Jung • Neurocomputing
GC-MVSNet++ improves the reconstruction quality of 3D scenes by introducing a novel cost-regularization network based on the principles of dense-connnections. It produces competitive results to state-of-the-art MVSFormer++ paper without using Transformers.
3D ReconstructionMulti-View Stereo
Deep learning-based 3D reconstruction from multiple images: A survey
2024
Chuhua Wang, Md. Alimoor Reza, Vibhas Kumar Vats, Yingnan Ju, Nikhil Thakurdesai, Yuchen Wang, David Crandall, Soon-heung Jung, Jeongil Seo • Neurocomputing
One-sentence contribution summary.
Survey3D ReconstructionMulti-View Stereo
GC-MVSNet: Multi-View, Multi-Scale, Geometrically-Consistent Multi-View Stereo
2024
Vibhas Vats, Sripad Joshi, David Crandall, Md. Alimoor Reza, Soon-heung Jung • WACV
GC-MVSnet explicitly models geomtric consistency constraints across different views to acceralte optimization and geometric understanding of learning-based models. We produce state-of-the-art results on DTU, BlendedMVS, and Tanks & Temples datasets.
3D ReconstructionMulti-View Stereo