Vibhas Vats
Ph.D. Candidate • Computer Science • Computer Vision

I am a Ph.D. candidate at Indiana University Bloomington. I work in the Computer Vision Lab with Prof. David Crandall. I am majoring in Computer Science with a minor in Machine Learning. Before joining the Ph.D. program, I earned a master's degree in Data Science at Indiana University with a thesis on “Response-Based Knowledge Distillation”. I completed a Bachelor's degree in Electrical Engineering at the National Institute of Technology, Patna (NITP).

Publications Projects Work / internships CV
Large-scale visual understanding, novel-view synthesis and 3D reconstruction

My research involves developing and applying computer vision algorithms that understand, analyze, and organize large-scale datasets of images and video using deep learning-based techniques. My recent focus has been on creating computer vision algorithms that can generate and synthesize 3D models of visual scenes from 2D images, using techniques such as multi-view stereo, stable diffusion, and other deep learning models

Research pillars

  • 3D Reconstruction, Multi-View Stereo
  • Splatting, Novel-view Synthesis
  • Generative Modeling for Geospatial images
  • Satellite Imagery Understanding
  • Geometry Reasoning in 3D
  • Deep Leraning core
Explore research →

Featured projects

Example Project
One-sentence tagline describing the project.
3DDiffusion
Open project →

Selected publications

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
Project PDF arXiv Code BibTeX Video Supplement Journal Version
All publications →