Plateau-free Differentiable Path Tracing. - Michael Fischer 011; Tobias Ritschel 001 (CoRR, 2022)

Metappearance: Meta-Learning for Visual Appearance Reproduction. - Michael Fischer 011; Tobias Ritschel 001 (ACM Trans. Graph., 2022)

Plateau-Reduced Differentiable Path Tracing. - Michael Fischer 011; Tobias Ritschel 001 (CVPR, 2023)

Zero Grads Ever Given: Learning Local Surrogate Losses for Non-Differentiable Graphics. - Michael Fischer 011; Tobias Ritschel 001 (CoRR, 2023)

Neural Bounding. - Wenxin Liu 003; Michael Fischer 011; Paul D. Yoo; Tobias Ritschel 001 (CoRR, 2023)

Learning to Learn and Sample BRDFs. - Chen Liu 029; Michael Fischer 011; Tobias Ritschel 001 (Comput. Graph. Forum, 2023)

NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs. - Michael Fischer 011; Zhengqin Li; Thu Nguyen-Phuoc; Aljaz Bozic; Zhao Dong 001; Carl S. Marshall; Tobias Ritschel 001 (CVPR, 2024)

Neural Bounding. - Stephanie Wenxin Liu; Michael Fischer 011; Paul D. Yoo; Tobias Ritschel 001 (SIGGRAPH (Conference Paper Track), 2024)

SAMa: Material-aware 3D Selection and Segmentation. - Michael Fischer 011; Iliyan Georgiev; Thibault Groueix; Vladimir G. Kim; Tobias Ritschel 001; Valentin Deschaintre (CoRR, 2024)

Higher-order Differentiable Rendering. - Zican Wang; Michael Fischer 011; Tobias Ritschel 001 (CoRR, 2024)

ZeroGrads: Learning Local Surrogates for Non-Differentiable Graphics. - Michael Fischer 011; Tobias Ritschel 001 (ACM Trans. Graph., 2024)

Fine-Grained Spatially Varying Material Selection in Images. - Julia Guerrero-Viu; Michael Fischer 011; Iliyan Georgiev; Elena Garces 001; Diego Gutierrez; Belén Masiá; Valentin Deschaintre (CoRR, 2025)