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
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Featured projects

Example Project
One-sentence tagline describing the project.
3DDiffusion
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Selected publications

A Markovian View of Iterative-Feedback Loops in Image Generative Models: Neural Resonance and Model Collapse
2026
Vibhas Kumar Vats, David Crandall, Samuel Goree • ArXiv-preprint
One-sentence contribution summary.
DiffusionGenerative ModelsDeep LearningNeural Resonance
arXiv BibTeX
Geometric Constraints in Deep Learning Frameworks: A Survey
2025
Vibhas Kumar Vats, David Crandall • ACM Computing Surveys
One-sentence contribution summary.
3D ReconstructionDepth EstimationMulti-View StereoSurvey
PDF arXiv BibTeX DOI
HVPUNet: Hybrid-Voxel Point-cloud Upsampling Network
2025
Huyung Ha, Vibhas Kumar Vats, Soon-heung Jung, Alimoor Reza, David Crandall • ICCV
One-sentence contribution summary.
3D ReconstructionSuper ResolutionPoint Cloud Upsampling
PDF BibTeX
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