Cengiz Öztireli

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 36

Top Topics

Diffusion Models

Top Venues

ACM Trans. Graph.

Comput. Graph. Forum

Publications

Xingchang Huang, Corentin Salaün, Cristina N. Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh
Blue noise for diffusion models. CoRR (2024)
Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup
Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization. CoRR (2024)
Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue
DREAM: Visual Decoding from Reversing Human Visual System. CoRR (2023)
Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli
Neural Fields with Hard Constraints of Arbitrary Differential Order. NeurIPS (2023)
Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Öztireli
FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation. CoRR (2023)
Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli
Neural Fields with Hard Constraints of Arbitrary Differential Order. CoRR (2023)
Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak
Statistical shape representations for temporal registration of plant components in 3D. ICRA (2023)
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
Differentiable Visual Computing for Inverse Problems and Machine Learning. CoRR (2023)
Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou, Fangcheng Zhong, Rafal Mantiuk, Cengiz Öztireli
Hypernetworks for Generalizable BRDF Estimation. CoRR (2023)
Chenliang Zhou, Fangcheng Zhong, Cengiz Öztireli
CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable and Controllable Text-Guided Face Manipulation. SIGGRAPH (Conference Paper Track) (2023)
Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
Differentiable visual computing for inverse problems and machine learning. Nat. Mac. Intell. 5 (11) (2023)
Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Öztireli, Yujiu Yang
3D GAN Inversion with Facial Symmetry Prior. CVPR (2023)
Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli
NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. CoRR (2022)
Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli
D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. NeurIPS (2022)
Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak
Statistical shape representations for temporal registration of plant components in 3D. CoRR (2022)
Cristina Vasconcelos, Cengiz Öztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi
CUF: Continuous Upsampling Filters. CoRR (2022)
Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Öztireli, Yujiu Yang
3D GAN Inversion with Facial Symmetry Prior. CoRR (2022)
Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi
Kubric: A scalable dataset generator. CoRR (2022)
Fazilet Gokbudak, Cengiz Öztireli
One-shot Detail Retouching with Patch Space Neural Field based Transformation Blending. CoRR (2022)
Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller
Path Guiding Using Spatio-Directional Mixture Models. Comput. Graph. Forum 41 (1) (2022)
Cengiz Öztireli, Christian Häne, Forrester Cole, Konstantinos Rematas, Sofien Bouaziz
TensorFlow graphics: differentiable computer graphics in tensorflow. SIGGRAPH Courses (2021)
Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller
Path Guiding Using Spatio-Directional Mixture Models. CoRR (2021)
Yifan Wang, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung
Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations. CVPR (2021)
Marco Ancona, Cengiz Öztireli, Markus H. Gross
Shapley Value as Principled Metric for Structured Network Pruning. CoRR (2020)
Marco Ancona, Cengiz Öztireli, Markus H. Gross
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation. CoRR (2019)
Yifan Wang, Felice Serena, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung
Differentiable Surface Splatting for Point-based Geometry Processing. CoRR (2019)
Loïc Ciccone, Cengiz Öztireli, Robert W. Sumner
Tangent-space optimization for interactive animation control. ACM Trans. Graph. 38 (4) (2019)
Jingwei Tang, Yagiz Aksoy, Cengiz Öztireli, Markus H. Gross, Tunç Ozan Aydin
Learning-Based Sampling for Natural Image Matting. CVPR (2019)
Yifan Wang, Felice Serena, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung
Differentiable surface splatting for point-based geometry processing. ACM Trans. Graph. 38 (6) (2019)
Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi
Active Mini-Batch Sampling Using Repulsive Point Processes. AAAI (2019)
Marco Ancona, Cengiz Öztireli, Markus H. Gross
Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation. ICML (2019)
Gurprit Singh, Cengiz Öztireli, Abdalla G. M. Ahmed, David Coeurjolly, Kartic Subr, Oliver Deussen, Victor Ostromoukhov, Ravi Ramamoorthi, Wojciech Jarosz
Analysis of Sample Correlations for Monte Carlo Rendering. Comput. Graph. Forum 38 (2) (2019)
Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi
Active Mini-Batch Sampling using Repulsive Point Processes. CoRR (2018)
Riccardo Roveri, Lukas Rahmann, Cengiz Öztireli, Markus H. Gross
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation. CVPR (2018)
Endri Dibra, Silvan Melchior, Ali Balkis, Thomas Wolf, Cengiz Öztireli, Markus H. Gross
Monocular RGB Hand Pose Inference From Unsupervised Refinable Nets. CVPR Workshops (2018)
Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross
Towards better understanding of gradient-based attribution methods for Deep Neural Networks. ICLR (Poster) (2018)