LabCompass

Bedřich Beneš

Computer Science · Purdue University West Lafayette

Established · publishing since 1987

Publications

299

Citations

7,043

Est. group size

~21

Recurring co-author estimate

Active years

40

Publishing since 1987

Research summary
AI-generated

Bedřich Beneš works in computer graphics, focusing on procedural and physically-based modeling of natural and built structures such as trees, terrain, roofs, and plants. Much of the recent work combines 3D modeling with machine learning (neural networks, diffusion models, LLMs) and applies these techniques to agricultural technology (digital plant models, crop phenotyping) and other domains like surgical training and virtual/extended reality. The lab produces a steady stream of publications each year, often in collaboration with a fairly large recurring group of co-authors.

Procedural and physics-based modeling of trees, terrain, and plants3D shape generation and reconstruction using neural networks and diffusion modelsDigital agriculture and plant phenotyping (digital twins, 3D plant models)Virtual/extended reality and visual analytics applicationsAI applications in training and assessment (surgical, educational, XR)

Publication output has remained fairly steady to slightly increasing over the last decade, averaging about 18 papers per year over the last five years with a peak in 2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 18.0/year recently
2017: 17 publications172018: 13 publications182019: 15 publications192020: 24 publications202021: 24 publications212022: 15 publications222023: 18 publications232024: 26 publications26242025: 17 publications252026: 14 publications26
Recent publications
Publishes in
  • ACM Transactions on Graphics×24
  • arXiv (Cornell University)×24
  • Computer Graphics Forum×17
  • Lecture notes in computer science×7
  • IEEE Transactions on Visualization and Computer Graphics×6
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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