Tobias Ritschel

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 118

Top Venues

Saarland University, Saarbrücken, Germany (PHD)

Education History

Saarland University, Saarbrücken, Germany

PHD

Publications

Michael Fischer, Zhengqin Li, Thu Nguyen-Phuoc, Aljaz Bozic, Zhao Dong, Carl S. Marshall, Tobias Ritschel
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs. CoRR (2024)
Michael Fischer, Tobias Ritschel
Plateau-Reduced Differentiable Path Tracing. CVPR (2023)
Michael Fischer, Tobias Ritschel
Zero Grads Ever Given: Learning Local Surrogate Losses for Non-Differentiable Graphics. CoRR (2023)
Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh
Patternshop: Editing Point Patterns by Image Manipulation. CoRR (2023)
Chen Liu, Michael Fischer, Tobias Ritschel
Learning to Learn and Sample BRDFs. Comput. Graph. Forum 42 (2) (2023)
Xingchang Huang, Tobias Ritschel, Hans-Peter Seidel, Pooran Memari, Gurprit Singh
Patternshop: Editing Point Patterns by Image Manipulation. ACM Trans. Graph. 42 (4) (2023)
Rafael Kuffner dos Anjos, David R. Walton, Kaan Aksit, Sebastian Friston, David Swapp, Anthony Steed, Tobias Ritschel
Metameric Inpainting for Image Warping. IEEE Trans. Vis. Comput. Graph. 29 (12) (2023)
Ntumba Elie Nsampi, Adarsh Djeacoumar, Hans-Peter Seidel, Tobias Ritschel, Thomas Leimkühler
Neural Field Convolutions by Repeated Differentiation. ACM Trans. Graph. 42 (6) (2023)
Ntumba Elie Nsampi, Adarsh Djeacoumar, Hans-Peter Seidel, Tobias Ritschel, Thomas Leimkühler
Neural Field Convolutions by Repeated Differentiation. CoRR (2023)
Wenxin Liu, Michael Fischer, Paul D. Yoo, Tobias Ritschel
Neural Bounding. CoRR (2023)
Gilles Rainer, Adrien Bousseau, Tobias Ritschel, George Drettakis
Neural Precomputed Radiance Transfer. Comput. Graph. Forum 41 (2) (2022)
Chenghao Wu, Zahra Montazeri, Tobias Ritschel
Learning to Rasterize Differentiable. CoRR (2022)
Ugur Çogalan, Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
Learning HDR video reconstruction for dual-exposure sensors with temporally-alternating exposures. Comput. Graph. 105 (2022)
Chen Liu, Michael Fischer, Tobias Ritschel
Learning to Learn and Sample BRDFs. CoRR (2022)
Animesh Karnewar, Oliver Wang, Tobias Ritschel, Niloy J. Mitra
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene. CoRR (2022)
David Griffiths, Tobias Ritschel, Julien Philip
OutCast: Outdoor Single-image Relighting with Cast Shadows. CoRR (2022)
Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. ECCV (28) (2022)
Prithvi Kohli, David R. Walton, Rafael Kuffner dos Anjos, Anthony Steed, Tobias Ritschel
Beyond Flicker, Beyond Blur: View-coherent Metameric Light Fields for Foveated Display. VR Workshops (2022)
David Griffiths, Tobias Ritschel, Julien Philip
OutCast: Outdoor Single-image Relighting with Cast Shadows. Comput. Graph. Forum 41 (2) (2022)
Hannah Kniesel, Timo Ropinski, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Tobias Ritschel, Pedro Hermosilla
Clean Implicit 3D Structure from Noisy 2D STEM Images. CVPR (2022)
Michael Fischer, Tobias Ritschel
Metappearance: Meta-Learning for Visual Appearance Reproduction. ACM Trans. Graph. 41 (6) (2022)
Michael Fischer, Tobias Ritschel
Plateau-free Differentiable Path Tracing. CoRR (2022)
Mojtaba Bemana, Karol Myszkowski, Jeppe Revall Frisvad, Hans-Peter Seidel, Tobias Ritschel
Eikonal Fields for Refractive Novel-View Synthesis. SIGGRAPH (Conference Paper Track) (2022)
Animesh Karnewar, Tobias Ritschel, Oliver Wang, Niloy J. Mitra
ReLU Fields: The Little Non-linearity That Could. SIGGRAPH (Conference Paper Track) (2022)
Hannah Kniesel, Timo Ropinski, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Tobias Ritschel, Pedro Hermosilla
Clean Implicit 3D Structure from Noisy 2D STEM Images. CoRR (2022)
Animesh Karnewar, Tobias Ritschel, Oliver Wang, Niloy J. Mitra
ReLU Fields: The Little Non-linearity That Could. CoRR (2022)
David R. Walton, Koray Kavakli, Rafael Kuffner dos Anjos, David Swapp, Tim Weyrich, Hakan Urey, Anthony Steed, Tobias Ritschel, Kaan Aksit
Metameric Varifocal Holograms. VR (2022)
Mojtaba Bemana, Karol Myszkowski, Jeppe Revall Frisvad, Hans-Peter Seidel, Tobias Ritschel
Eikonal Fields for Refractive Novel-View Synthesis. CoRR (2022)
Animesh Karnewar, Oliver Wang, Tobias Ritschel, Niloy J. Mitra
3inGAN: Learning a 3D Generative Model from Images of a Self-similar Scene. 3DV (2022)
Michael Fischer, Tobias Ritschel
Metappearance: Meta-Learning for Visual Appearance Reproduction. CoRR (2022)
David R. Walton, Koray Kavakli, Rafael Kuffner dos Anjos, David Swapp, Tim Weyrich, Hakan Urey, Anthony Steed, Tobias Ritschel, Kaan Aksit
Metameric Varifocal Holography. CoRR (2021)
David Griffiths, Jan Boehm, Tobias Ritschel
Curiosity-driven 3D Object Detection Without Labels. 3DV (2021)
Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
Data-driven deep density estimation. CoRR (2021)
Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures. ICLR (2021)
Alejandro Sztrajman, Gilles Rainer, Tobias Ritschel, Tim Weyrich
Neural BRDF Representation and Importance Sampling. CoRR (2021)
Patrik Puchert, Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
Data-driven deep density estimation. Neural Comput. Appl. 33 (23) (2021)
Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel
Blue Noise Plots. CoRR (2021)
Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra, Tobias Ritschel
Generative modelling of BRDF textures from flash images. ACM Trans. Graph. 40 (6) (2021)
Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný
Unsupervised Learning of 3D Object Categories From Videos in the Wild. CVPR (2021)
David R. Walton, Rafael Kuffner dos Anjos, Sebastian Friston, David Swapp, Kaan Aksit, Anthony Steed, Tobias Ritschel
Beyond blur: real-time ventral metamers for foveated rendering. ACM Trans. Graph. 40 (4) (2021)
Alejandro Sztrajman, Gilles Rainer, Tobias Ritschel, Tim Weyrich
Neural BRDF Representation and Importance Sampling. Comput. Graph. Forum 40 (6) (2021)
Christian van Onzenoodt, Gurprit Singh, Timo Ropinski, Tobias Ritschel
Blue Noise Plots. Comput. Graph. Forum 40 (2) (2021)
Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný
Unsupervised Learning of 3D Object Categories from Videos in the Wild. CoRR (2021)
Philipp Henzler, Valentin Deschaintre, Niloy J. Mitra, Tobias Ritschel
Generative Modelling of BRDF Textures from Flash Images. CoRR (2021)
Pedro Hermosilla, Michael Schelling, Tobias Ritschel, Timo Ropinski
Variance-Aware Weight Initialization for Point Convolutional Neural Networks. CoRR (2021)
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
X-Fields: Implicit Neural View-, Light- and Time-Image Interpolation. CoRR (2020)
David Griffiths, Jan Boehm, Tobias Ritschel
Curiosity-driven 3D Scene Structure from Single-image Self-supervision. CoRR (2020)
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
X-Fields: implicit neural view-, light- and time-image interpolation. ACM Trans. Graph. 39 (6) (2020)
Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra
Learning on the Edge: Investigating Boundary Filters in CNNs. Int. J. Comput. Vis. 128 (4) (2020)
Connor Daly, Yuzuko Nakamura, Tobias Ritschel
Deep Generative Modelling of Human Reach-and-Place Action. CoRR (2020)
Pedro Hermosilla, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlíková, Michael Krone, Tobias Ritschel, Timo Ropinski
ProteiNN: Intrinsic-Extrinsic Convolution and Pooling for Scalable Deep Protein Analysis. CoRR (2020)
David Griffiths, Jan Boehm, Tobias Ritschel
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss. ECCV (18) (2020)
Ugur Çogalan, Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
HDR Denoising and Deblurring by Learning Spatio-temporal Distortion Models. CoRR (2020)
Philipp Henzler, Niloy J. Mitra, Tobias Ritschel
Learning a Neural 3D Texture Space From 2D Exemplars. CVPR (2020)
David Griffiths, Jan Boehm, Tobias Ritschel
Finding Your (3D) Center: 3D Object Detection Using a Learned Loss. CoRR (2020)
Maxim Maximov, Tobias Ritschel, Laura Leal-Taixé, Mario Fritz
Deep Appearance Maps. ICCV (2019)
Pedro Hermosilla Casajus, Tobias Ritschel, Timo Ropinski
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. ICCV (2019)
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
Neural View-Interpolation for Sparse LightField Video. CoRR (2019)
Philipp Henzler, Niloy J. Mitra, Tobias Ritschel
Learning a Neural 3D Texture Space from 2D Exemplars. CoRR (2019)
Sebastian Friston, Tobias Ritschel, Anthony Steed
Perceptual rasterization for head-mounted display image synthesis. ACM Trans. Graph. 38 (4) (2019)
Mojtaba Bemana, Joachim Keinert, Karol Myszkowski, Michel Bätz, Matthias Ziegler, Hans-Peter Seidel, Tobias Ritschel
Learning to Predict Image-based Rendering Artifacts with Respect to a Hidden Reference Image. Comput. Graph. Forum 38 (7) (2019)
Pedro Hermosilla, Tobias Ritschel, Timo Ropinski
Total Denoising: Unsupervised Learning of 3D Point Cloud Cleaning. CoRR (2019)
Tobias Zirr, Tobias Ritschel
Distortion-Free Displacement Mapping. Comput. Graph. Forum 38 (8) (2019)
Philipp Henzler, Niloy J. Mitra, Tobias Ritschel
Escaping Plato's Cave: 3D Shape From Adversarial Rendering. ICCV (2019)
Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski
Deep-learning the Latent Space of Light Transport. Comput. Graph. Forum 38 (4) (2019)
Thomas Leimkühler, Gurprit Singh, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
Deep point correlation design. ACM Trans. Graph. 38 (6) (2019)
Tuanfeng Y. Wang, Tobias Ritschel, Niloy J. Mitra
Joint Material and Illumination Estimation from Photo Sets in the Wild. 3DV (2018)
Philipp Henzler, Volker Rasche, Timo Ropinski, Tobias Ritschel
Single-image Tomography: 3D Volumes from 2D Cranial X-Rays. Comput. Graph. Forum 37 (2) (2018)
Philipp Henzler, Niloy J. Mitra, Tobias Ritschel
Escaping Plato's Cave using Adversarial Training: 3D Shape From Unstructured 2D Image Collections. CoRR (2018)
Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
Monte Carlo convolution for learning on non-uniformly sampled point clouds. ACM Trans. Graph. 37 (6) (2018)
Thomas Leimkühler, Gurprit Singh, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
End-to-end Sampling Patterns. CoRR (2018)
Maxim Maximov, Tobias Ritschel, Mario Fritz
Deep Appearance Maps. CoRR (2018)
Mojtaba Bemana, Karol Myszkowski, Hans-Peter Seidel, Tobias Ritschel
Deep-learning to Predict Perceived Differences to a Hidden Reference Image. CoRR (2018)
Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra
Learning on the Edge: Explicit Boundary Handling in CNNs. BMVC (2018)
Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski
Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds. CoRR (2018)
Thomas Leimkühler, Hans-Peter Seidel, Tobias Ritschel
Laplacian kernel splatting for efficient depth-of-field and motion blur synthesis or reconstruction. ACM Trans. Graph. 37 (4) (2018)
Tobias Ritschel, Sebastian Friston, Anthony Steed
Perceptual Rasterization for Head-mounted Display Image Synthesis. CoRR (2018)
Niloy J. Mitra, Tobias Ritschel, Iasonas Kokkinos, Paul Guerrero, Vladimir G. Kim, Konstantinos Rematas, Ersin Yumer
Deep Learning for Graphics. Eurographics (Tutorials) (2018)
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars
Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. IEEE Trans. Pattern Anal. Mach. Intell. 40 (8) (2018)
Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra
Learning on the Edge: Explicit Boundary Handling in CNNs. CoRR (2018)
Pedro Hermosilla, Sebastian Maisch, Tobias Ritschel, Timo Ropinski
Deep-learning the Latent Space of Light Transport. CoRR (2018)
Thomas Leimkühler, Petr Kellnhofer, Tobias Ritschel, Karol Myszkowski, Hans-Peter Seidel
Perceptual Real-Time 2D-to-3D Conversion Using Cue Fusion. IEEE Trans. Vis. Comput. Graph. 24 (6) (2018)
Joep Moritz, Stuart James, Tom S. F. Haines, Tobias Ritschel, Tim Weyrich
Texture Stationarization: Turning Photos into Tileable Textures. Comput. Graph. Forum 36 (2) (2017)
Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
Novel Views of Objects from a Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 39 (8) (2017)
Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra
Plausible Shading Decomposition For Layered Photo Retouching. CoRR (2017)
Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra
Decomposing Single Images for Layered Photo Retouching. Comput. Graph. Forum 36 (4) (2017)
Oliver Nalbach, Hans-Peter Seidel, Tobias Ritschel
Practical Capture and Reproduction of Phosphorescent Appearance. Comput. Graph. Forum 36 (2) (2017)
Philipp Henzler, Volker Rasche, Timo Ropinski, Tobias Ritschel
Single-image Tomography: 3D Volumes from 2D X-Rays. CoRR (2017)
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
What is Around the Camera? ICCV (2017)
Thomas Leimkühler, Hans-Peter Seidel, Tobias Ritschel
Minimal Warping: Planning Incremental Novel-view Synthesis. Comput. Graph. Forum 36 (4) (2017)
Tuanfeng Y. Wang, Tobias Ritschel, Niloy J. Mitra
Joint Material and Illumination Estimation from Photo Sets in the Wild. CoRR (2017)
Oliver Nalbach, Elena Arabadzhiyska, Dushyant Mehta, Hans-Peter Seidel, Tobias Ritschel
Deep Shading: Convolutional Neural Networks for Screen Space Shading. Comput. Graph. Forum 36 (4) (2017)
Gerrit Lochmann, Bernhard Reinert, Arend Buchacher, Tobias Ritschel
Real-time Novel-view Synthesis for Volume Rendering Using a Piecewise-analytic Representation. VMV (2016)
Bernhard Reinert, Tobias Ritschel, Hans-Peter Seidel
Animated 3D Creatures from Single-view Video by Skeletal Sketching. Graphics Interface (2016)
Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars, Luc Van Gool
Natural Illumination from Multiple Materials Using Deep Learning. CoRR (2016)
Bernhard Reinert, Johannes Kopf, Tobias Ritschel, Eduardo Cuervo, David Chu, Hans-Peter Seidel
Proxy-guided Image-based Rendering for Mobile Devices. Comput. Graph. Forum 35 (7) (2016)
Oliver Nalbach, Elena Arabadzhiyska, Dushyant Mehta, Hans-Peter Seidel, Tobias Ritschel
Deep Shading: Convolutional Neural Networks for Screen-Space Shading. CoRR (2016)
Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars
Deep Reflectance Maps. CVPR (2016)
Bernhard Reinert, Tobias Ritschel, Hans-Peter Seidel, Iliyan Georgiev
Projective Blue-Noise Sampling. Comput. Graph. Forum 35 (1) (2016)
Konstantinos Rematas, Chuong H. Nguyen, Tobias Ritschel, Mario Fritz, Tinne Tuytelaars
Novel Views of Objects from a Single Image. CoRR (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tobias Ritschel