Differentiable surface splatting for point-based geometry processing (2019)

Towards better understanding of gradient-based attribution methods for Deep Neural Networks. arXiv (2017) doi: 10.48550

Towards better understanding of gradient-based attribution methods for deep neural networks. arXiv [Preprint](2018)

Enea Ceolini, A. Cengiz Öztireli, and Markus H. Gross. 2017. A unified view of gradient-based attribution methods for Deep Neural Networks. CoRR abs/1711.06104 (2017)

Towards better understanding of gradient-based attribution methods for Deep Neural Networks, November 2017

Matryoshka Gaussian Splatting

PoseCraft: Tokenized 3D Body Landmark and Camera Conditioning for Photorealistic Human Image Synthesis

Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity

Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance

Chord: Generation of collision-free, house-scale, and organized digital twins for 3d indoor scenes with controllable floor plans and optimal layouts