Tobias Ritschel
Professor of Computer Graphics
Researches computer graphics, combining rendering, perception and deep learning for image synthesis.
Tobias Ritschel's lab at UCL works on rendering & appearance, image & video generation and robot perception & SLAM. 23 papers since 2023, 12 at top venues, mostly TOG and CGF. 3 PhD students.
At a glance
- papers, 2023–2026
- 6/ year
- at T1 venues
- 52%
- PhD students
- 3
- MS students
- 0
- alumni listed
- —
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 2 · collecting
- 7 papers2025 · T1 2
- 6 papers2024 · T1 5
- 5 papers2023 · T1 3
T1 venuesOtherVenues: TOG, CGF, CVPR, ICCV, 3DV
Research focuspaper titles that use each topic's words
- Image & video generation5 papers
- Rendering & appearance4 papers
- rendering2 papers
- Robot perception & SLAM0 papers
- combining0 papers
Paper list
From the lab homepage.
20265 papers
- Proc. EGSRBounding Expert Hierarchies
- TOG (T1)Photons x Force: Differentiable Radiation Pressure Modeling
- 3DVSama: Material-aware 3d selection and segmentation
- SIGGRAPH Asia (T1)Tabula Rasa: Monte Carlo estimation of unit-variance noise with controlled spatio-temporal correlation
- CGFVolumetric Inverse Rendering via Neural Radiative Transfer
20257 papers
- Communications Engineering4D-ONIX for reconstructing 3D movies from sparse X-ray projections via deep learning
- TVCGBlind augmentation: calibration-free camera distortion model estimation for real-time mixed-reality consistency
- Computer Graphcis ForumBracket Diffusion: HDR Image Generation by Consistent LDR Denoising
- ICCV (T1)Generative Video Bi-flow
- Proc. Vision, Modelling & VisualizationLearning Neural Antiderivatives
- Measurement Science and TechnologyPhysics-informed 4D x-ray image reconstruction from ultra-sparse spatiotemporal data
- ICCV (T1)Stochastic Gradient Estimation for Higher-order Differentiable Rendering
20246 papers
- Computer Graphcis ForumLearning to Rasterize Differentiably
- CVPR (T1)NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
- SIGGRAPH (T1)Neural Bounding
- TOG (T1)Neural Differential Appearance Equations
- Nature Machine Intelligence (T1)Reusability report: Unpaired deep-learning approaches for holographic image reconstruction
- TOG (T1)Zero Grads Ever Given: Learning Local Surrogate Losses for Non-Differentiable Graphics
20235 papers
- CGFLearning to learn and sample BRDFs
- TOG (T1)Neural Field Convolutions by Repeated Differentiation
- Applied ResearchONIX: An X-ray deep-learning tool for 3D reconstructions from sparse views
- TOG (T1)Patternshop: editing point patterns by image manipulation
- CVPR (T1)Plateau-reduced differentiable path tracing
Where alumni went
Alumni are not listed on the lab homepage.
Apply to UCLFall 2027
Not announced yet
Computer Science MPhil/PhD
- Round
- Main
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
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- USMichigan
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- USUMD
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- USUT Austin
Don Fussell
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- SGNTU
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Your notes
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Data
Some numbers could not be verified:
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Not collected
Tiers are venue classifications, not lab rankings.