Cengiz Öztireli

61 papers A* 12A 2Journal 38Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning-guided Kansa collocation for forward and inverse PDEs beyond linearity. CoRR Zheyuan Hu, Weitao Chen, Cengiz Öztireli, Chenliang Zhou, Fangcheng Zhong
2026	A*	`conf`	M3ashy: Multi-Modal Material Synthesis via Hyperdiffusion. AAAI Chenliang Zhou, Zheyuan Hu, Alejandro Sztrajman, Yancheng Cai, Yaru Liu, Cengiz Öztireli
2026	A*	`conf`	Multigranular Evaluation for Brain Visual Decoding. AAAI Weihao Xia, Cengiz Öztireli
2026	J	`jnl`	Quartet of Diffusions: Structure-Aware Point Cloud Generation through Part and Symmetry Guidance. CoRR Chenliang Zhou, Fangcheng Zhong, Weihao Xia, Albert Miao, Canberk Baykal, Cengiz Öztireli
2025	A	`conf`	ARF-Plus: Controlling Perceptual Factors in Artistic Radiance Fields for 3D Scene Stylization. WACV Wenzhao Li, Tianhao Wu, Fangcheng Zhong, Cengiz Öztireli
2025	J	`jnl`	An Information Theoretic Approach to Machine Unlearning. Trans. Mach. Learn. Res. Jack Foster, Kyle Fogarty, Stefan Schoepf, Zack Dugue, Cengiz Öztireli, Alexandra Brintrup
2025	—	`conf`	Best Foot Forward: Robust Foot Reconstruction in-the-wild. ICCVW Kyle Fogarty, Jing Yang, Chayan Kumar Patodi, Jack Foster, Aadi Bhanti, Steven Chacko, Cengiz Öztireli, Ujwal Bonde
2025	J	`jnl`	Best Foot Forward: Robust Foot Reconstruction in-the-wild. CoRR Kyle Fogarty, Jing Yang, Chayan Kumar Patodi, Aadi Bhanti, Steven Chacko, Cengiz Öztireli, Ujwal Bonde
2025	J	`jnl`	CHOrD: Generation of Collision-Free, House-Scale, and Organized Digital Twins for 3D Indoor Scenes with Controllable Floor Plans and Optimal Layouts. CoRR Chong Su, Yingbin Fu, Zheyuan Hu, Jing Yang, Param Hanji, Shaojun Wang, Xuan Zhao, Cengiz Öztireli, Fangcheng Zhong
2025	—	`conf`	Demystifying noise: Role of randomness in generative AI: Demystifying randomness in generative AI. SIGGRAPH Courses Gurprit Singh, Xingchang Huang, Jente Vandersanden, Cengiz Öztireli, Niloy J. Mitra
2025	—	`conf`	Demystifying noise: The role of randomness in generative AI. Eurographics (Tutorials) Gurprit Singh, Xingchang Huang, Jente Vandersanden, Cengiz Öztireli, Niloy J. Mitra
2025	J	`jnl`	Exploring The Visual Feature Space for Multimodal Neural Decoding. CoRR Weihao Xia, Cengiz Öztireli
2025	J	`jnl`	Features Emerge as Discrete States: The First Application of SAEs to 3D Representations. CoRR Albert Miao, Chenliang Zhou, Jiawei Zhou, Cengiz Öztireli
2025	A*	`conf`	Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping. ICLR Tianhao (Walter) Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Öztireli
2025	J	`jnl`	Self-Supervised Implicit Attention Priors for Point Cloud Reconstruction. CoRR Kyle Fogarty, Chenyue Cai, Jing Yang, Zhilin Guo, Cengiz Öztireli
2025	J	`jnl`	Twist and Compute: The Cost of Pose in 3D Generative Diffusion. CoRR Kyle Fogarty, Jack Foster, Boqiao Zhang, Jing Yang, Cengiz Öztireli
2024	J	`jnl`	Blue noise for diffusion models. CoRR Xingchang Huang, Corentin Salaün, Cristina Nader Vasconcelos, Christian Theobalt, Cengiz Öztireli, Gurprit Singh
2024	A	`conf`	DREAM: Visual Decoding from REversing HumAn Visual SysteM. WACV Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue
2024	J	`jnl`	Evolutive Rendering Models. CoRR Fangneng Zhan, Hanxue Liang, Yifan Wang, Michael Niemeyer, Michael Oechsle, Adam Kortylewski, Cengiz Öztireli, Gordon Wetzstein, Christian Theobalt
2024	J	`jnl`	Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos. CoRR Hanxue Liang, Jiawei Ren, Ashkan Mirzaei, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Öztireli, Huan Ling, Zan Gojcic, Jiahui Huang
2024	J	`jnl`	Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping. CoRR Tianhao Wu, Jing Yang, Zhilin Guo, Jingyi Wan, Fangcheng Zhong, Cengiz Öztireli
2024	—	`conf`	Hypernetworks for Generalizable BRDF Representation. ECCV (76) Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou, Fangcheng Zhong, Rafal Mantiuk, Cengiz Öztireli
2024	J	`jnl`	Multispectral Fine-Grained Classification of Blackgrass in Wheat and Barley Crops. CoRR Madeleine Darbyshire, Shaun Coutts, Eleanor Hammond, Fazilet Gokbudak, Cengiz Öztireli, Petra Bosilj, Junfeng Gao, Elizabeth Sklar, Simon Parsons
2024	J	`jnl`	Physically Based Neural Bidirectional Reflectance Distribution Function. CoRR Chenliang Zhou, Alejandro Sztrajman, Gilles Rainer, Fangcheng Zhong, Fazilet Gokbudak, Zhilin Guo, Weihao Xia, Rafal Mantiuk, Cengiz Öztireli
2024	J	`jnl`	UMBRAE: Unified Multimodal Brain Decoding. CoRR Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue
2024	J	`jnl`	Zero-Shot Machine Unlearning at Scale via Lipschitz Regularization. CoRR Jack Foster, Kyle Fogarty, Stefan Schoepf, Cengiz Öztireli, Alexandra Brintrup
2023	A*	`conf`	3D GAN Inversion with Facial Symmetry Prior. CVPR Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Öztireli, Yujiu Yang
2023	—	`conf`	CLIP-PAE: Projection-Augmentation Embedding to Extract Relevant Features for a Disentangled, Interpretable and Controllable Text-Guided Face Manipulation. SIGGRAPH (Conference Paper Track) Chenliang Zhou, Fangcheng Zhong, Cengiz Öztireli
2023	J	`jnl`	DREAM: Visual Decoding from Reversing Human Visual System. CoRR Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue
2023	J	`jnl`	Differentiable Visual Computing for Inverse Problems and Machine Learning. CoRR Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
2023	J	`jnl`	Differentiable visual computing for inverse problems and machine learning. Nat. Mac. Intell. Andrew Spielberg, Fangcheng Zhong, Konstantinos Rematas, Krishna Murthy Jatavallabhula, Cengiz Öztireli, Tzu-Mao Li, Derek Nowrouzezahrai
2023	J	`jnl`	FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation. CoRR Chenliang Zhou, Fangcheng Zhong, Param Hanji, Zhilin Guo, Kyle Fogarty, Alejandro Sztrajman, Hongyun Gao, Cengiz Öztireli
2023	J	`jnl`	Hypernetworks for Generalizable BRDF Estimation. CoRR Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou, Fangcheng Zhong, Rafal Mantiuk, Cengiz Öztireli
2023	A*	`conf`	Neural Fields with Hard Constraints of Arbitrary Differential Order. NeurIPS Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli
2023	J	`jnl`	Neural Fields with Hard Constraints of Arbitrary Differential Order. CoRR Fangcheng Zhong, Kyle Fogarty, Param Hanji, Tianhao Wu, Alejandro Sztrajman, Andrew Spielberg, Andrea Tagliasacchi, Petra Bosilj, Cengiz Öztireli
2023	A*	`conf`	Statistical shape representations for temporal registration of plant components in 3D. ICRA Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak
2022	J	`jnl`	3D GAN Inversion with Facial Symmetry Prior. CoRR Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Öztireli, Yujiu Yang
2022	J	`jnl`	CUF: Continuous Upsampling Filters. CoRR Cristina Nader Vasconcelos, Cengiz Öztireli, Mark J. Matthews, Milad Hashemi, Kevin Swersky, Andrea Tagliasacchi
2022	J	`jnl`	D CoRR Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli
2022	A*	`conf`	D^2NeRF: Self-Supervised Decoupling of Dynamic and Static Objects from a Monocular Video. NeurIPS Tianhao Wu, Fangcheng Zhong, Andrea Tagliasacchi, Forrester Cole, Cengiz Öztireli
2022	J	`jnl`	Kubric: A scalable dataset generator. CoRR 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
2022	J	`jnl`	One-shot Detail Retouching with Patch Space Neural Field based Transformation Blending. CoRR Fazilet Gokbudak, Cengiz Öztireli
2022	J	`jnl`	Path Guiding Using Spatio-Directional Mixture Models. Comput. Graph. Forum Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller
2022	J	`jnl`	Statistical shape representations for temporal registration of plant components in 3D. CoRR Karoline Heiwolt, Cengiz Öztireli, Grzegorz Cielniak
2021	A*	`conf`	Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations. CVPR Yifan Wang, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung
2021	J	`jnl`	Path Guiding Using Spatio-Directional Mixture Models. CoRR Ana Dodik, Marios Papas, Cengiz Öztireli, Thomas Müller
2021	—	`conf`	TensorFlow graphics: differentiable computer graphics in tensorflow. SIGGRAPH Courses Cengiz Öztireli, Christian Häne, Forrester Cole, Konstantinos Rematas, Sofien Bouaziz
2020	J	`jnl`	Shapley Value as Principled Metric for Structured Network Pruning. CoRR Marco Ancona, Cengiz Öztireli, Markus Gross
2019	A*	`conf`	Active Mini-Batch Sampling Using Repulsive Point Processes. AAAI Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi
2019	J	`jnl`	Analysis of Sample Correlations for Monte Carlo Rendering. Comput. Graph. Forum Gurprit Singh, Cengiz Öztireli, Abdalla G. M. Ahmed, David Coeurjolly, Kartic Subr, Oliver Deussen, Victor Ostromoukhov, Ravi Ramamoorthi, Wojciech Jarosz
2019	J	`jnl`	Differentiable Surface Splatting for Point-based Geometry Processing. CoRR Yifan Wang, Felice Serena, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung
2019	J	`jnl`	Differentiable surface splatting for point-based geometry processing. ACM Trans. Graph. Yifan Wang, Felice Serena, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung
2019	A*	`conf`	Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Value Approximation. ICML Marco Ancona, Cengiz Öztireli, Markus H. Gross
2019	J	`jnl`	Explaining Deep Neural Networks with a Polynomial Time Algorithm for Shapley Values Approximation. CoRR Marco Ancona, Cengiz Öztireli, Markus H. Gross
2019	—	`ch.`	Gradient-Based Attribution Methods. Explainable AI Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus H. Gross
2019	A*	`conf`	Learning-Based Sampling for Natural Image Matting. CVPR Jingwei Tang, Yagiz Aksoy, Cengiz Öztireli, Markus H. Gross, Tunç Ozan Aydin
2019	J	`jnl`	Tangent-space optimization for interactive animation control. ACM Trans. Graph. Loïc Ciccone, Cengiz Öztireli, Robert W. Sumner
2018	A*	`conf`	A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation. CVPR Riccardo Roveri, Lukas Rahmann, Cengiz Öztireli, Markus H. Gross
2018	J	`jnl`	Active Mini-Batch Sampling using Repulsive Point Processes. CoRR Cheng Zhang, Cengiz Öztireli, Stephan Mandt, Giampiero Salvi
2018	—	`conf`	Monocular RGB Hand Pose Inference From Unsupervised Refinable Nets. CVPR Workshops Endri Dibra, Silvan Melchior, Ali Balkis, Thomas Wolf, Cengiz Öztireli, Markus H. Gross
2018	—	`conf`	Towards better understanding of gradient-based attribution methods for Deep Neural Networks. ICLR (Poster) Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross