Carnegie Mellon Graphics Seminar

The Carnegie Mellon Graphics Seminar invites early-career researchers broadly in computer graphics to present their work to the Carnegie Mellon graphics community. The seminar runs several times during the academic year, and includes an hour-long talk and (optionally) a visit to Carnegie Mellon.

Upcoming seminars

  • 04/06/2026: Honglin Chen (Columbia) – TBD
  • 03/30/2026: Ruben Wiersma (ETH Zurich) – TBD
  • 03/23/2026: Yash Belhe (UCSD) – TBD
  • 03/16/2026: Kevin Mu (UW) – TBD

Supporters

The Carnegie Mellon Graphics Seminar is supported by Roblox. If you are interested in supporting the seminar as a sponsor, please contact us.

Previous seminars

  • 02/02/2026: Abhishek Madan (Toronto) – Why You Don’t Need Sparsity for Efficient Geometric Computing
  • 01/26/2026: Ticha Sethapakdi (MIT) – Engineering Expressive Technologies
  • 12/01/2025: Ziyi Zhang (EPFL) – Differentiable Rendering: Differentiable Light Transport for Data-Driven Methods
  • 11/17/2025: Markus Worchel (TUB) – Efficient Differentiable Rendering in Graphics and Beyond
  • 10/16/2025: Ishit Mehta (UCSD) – Inverse Rendering of Geometry
  • 09/08/2025: Gilbert Bernstein (UW) – Treating 3d Design and Fabrication as Programming Language and Software Engineering Problems
  • 04/28/2025: Chaoyang Wang (Snap) – 4D content generation of dynamic scenes
  • 04/22/2025: Varun Sundar (Wisconsin) – Software-defined Single-Photon Imaging
  • 04/21/2025: Karima Ma (MIT) – Domain-Specific Program Search
  • 04/15/2025: Haley So (Stanford) – In-Pixel Compute for Bandwidth Efficient Imaging and Perception
  • 02/27/2025: Kushagra Tiwary (MIT) – What if Eye…? Computationally Recreating Vision Evolution
  • 11/19/2024: Florian Schiffers (Northwestern) – Seeing Beyond Pixels: Holography’s Mission to Craft the Ultimate Visual Experience
  • 10/29/2024: Berthy Feng (Caltech) – Score-based Diffusion Models as Principled Priors for Inverse Imaging
  • 10/22/2024: Anthony Bisulco (UPenn) – High-Speed Event-Based Perception-Action Systems
  • 10/11/2024: Felix Hähnlein (UW) – Dynamic abstractions for sustainable product design
  • 10/04/2024: Yuliang Xiu (MPI-IS) – PuzzleAvatar: Assembling 3D Avatars from Truly Unconstrained 2D Photos
  • 09/20/2024: Artem Lukoianov (MIT) – Score Distillation via Reparametrized DDIM
  • 09/17/2024: Anagh Malik (Toronto) – Multiview Reconstruction using Transients
  • 06/04/2024: Tzofi Klinghoffer (MIT) – PlatoNeRF
  • 04/10/2024: Huancheng Lin (HKU) – Analytical Hessian and Spatial Adaptivity for Efficient Simulation of Elasticity
  • 03/27/2024: Kemeng Huang (HKU) – High performance physical simulation
  • 12/01/2023: Mengqi Xia (EPFL) – Physically realistic rendering of complex materials using wave optics
  • 10/06/2023: Ruoshi Liu (Columbia) – Generating the 3D World
  • 09/01/2023: Guy Tevet (Tel-Aviv) – Human Motion Diffusion Model
  • 08/16/2022: Akshat Dave (Rice) – Polarization-aided Inverse Rendering
  • 05/31/2022: Donald Dansereau (Sydney) – Robotic Imaging: From Photons to Actions
  • 05/10/2022: Amit Bermano (TAU) – CLIP as a generative foundation model
  • 05/03/2022: Georg Sperl (IST) – Knitting together methods for efficient yarn-cloth simulation
  • 04/26/2022: Shlomi Steinberg (UCSB) – Physical Light Transport
  • 04/19/2022: Yifan Peng (Stanford) – Neural Holography
  • 04/12/2022: Thomas Müller (NVIDIA) – Instant Neural Graphics Primitives
  • 04/05/2022: Delio Vicini (EPFL) – Efficient and Accurate Physically-based Differentiable Rendering
  • 03/29/2022: Alexandr Kuznetsov (UCSD) – Neural Materials: NeuMIP and Beyond
  • 03/22/2022: Nathan Matsuda (Meta Reality Labs) – Reverse Passthrough VR
  • 03/08/2022: Eric Ryan Chan (Stanford) – Efficient Geometry-aware 3D Generative Adversarial Networks
  • 11/30/2021: Rinon Gal (Tel-Aviv) – StyleGAN-NADA: CLIP Guided Domain Adaptation of Image Generators
  • 04/20/2021: Zhengqin Li (UCSD) – Physically-motivated Deep Inverse Rendering with Complex Materials and Lighting
  • 04/13/2021: Seung-hwan Baek (Princeton) – Beyond Human Vision: Computational Imaging with Light Waves
  • 04/06/2021: Pratul Srinivasan (Berkeley) – Extending Neural Radiance Fields
  • 03/30/2021: Daria Atkinson (UPenn) – Let me spin you a yarn: fiber geometry and the elasticity of twisted filaments
  • 03/23/2021: Wenzheng Chen (Toronto) – Differentiable Imaging System
  • 02/09/2021: Atul Ingle (Wisconsin) – Computational Imaging with Single-Photon Cameras
  • 02/02/2021: Kathryn Heal (Harvard) – A Lighting-Invariant Approach to Shape from Shading
  • 12/22/2020: Grace Kuo (Berkeley) – Exploiting Randomness in Computational Cameras and Displays
  • 12/15/2020: Stephanie Wang (UCSD) – Capturing Surfaces with Differential Forms
  • 12/08/2020: Samaneh Azadi (Berkeley) – Towards Content-Creative AI
  • 11/24/2020: Benedikt Bitterli (Dartmouth) – Real-time rendering in the age of hardware raytracing: Spatiotemporal reservoir resampling for real-time ray tracing with dynamic direct lighting
  • 11/10/2020: Silvia Sellán (Toronto) – Developable Surfaces: A case study in discrete differential geometry
  • 10/20/2020: Chen Bar (Technion) – Rendering Near-Field Speckle Statistics in Scattering Media
  • 09/08/2020: Oded Stein (MIT) – An Exploration of Knots and Links
  • 09/03/2020: Eatka Jain (Florida) – User Security and Privacy in Pursuit of Compelling Virtual Avatars