Gilitschenski, Igor

47 publications

CVPR 2025 CTRL-D: Controllable Dynamic 3D Scene Editing with Personalized 2D Diffusion Kai He, Chin-Hsuan Wu, Igor Gilitschenski
ICML 2025 Calibrated Value-Aware Model Learning with Probabilistic Environment Models Claas A Voelcker, Anastasiia Pedan, Arash Ahmadian, Romina Abachi, Igor Gilitschenski, Amir-Massoud Farahmand
NeurIPS 2025 DenseDPO: Fine-Grained Temporal Preference Optimization for Video Diffusion Models Ziyi Wu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Ashkan Mirzaei, Igor Gilitschenski, Sergey Tulyakov, Aliaksandr Siarohin
CVPR 2025 EventSplat: 3D Gaussian Splatting from Moving Event Cameras for Real-Time Rendering Toshiya Yura, Ashkan Mirzaei, Igor Gilitschenski
NeurIPS 2025 Feed-Forward Bullet-Time Reconstruction of Dynamic Scenes from Monocular Videos Hanxue Liang, Jiawei Ren, Ashkan Mirzaei, Antonio Torralba, Ziwei Liu, Igor Gilitschenski, Sanja Fidler, Cengiz Oztireli, Huan Ling, Zan Gojcic, Jiahui Huang
NeurIPS 2025 LuxDiT: Lighting Estimation with Video Diffusion Transformer Ruofan Liang, Kai He, Zan Gojcic, Igor Gilitschenski, Sanja Fidler, Nandita Vijaykumar, Zian Wang
ICLR 2025 MAD-TD: Model-Augmented Data Stabilizes High Update Ratio RL Claas A Voelcker, Marcel Hussing, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski
CVPR 2025 Mind the Time: Temporally-Controlled Multi-Event Video Generation Ziyi Wu, Aliaksandr Siarohin, Willi Menapace, Ivan Skorokhodov, Yuwei Fang, Varnith Chordia, Igor Gilitschenski, Sergey Tulyakov
CVPR 2025 Pippo: High-Resolution Multi-View Humans from a Single Image Yash Kant, Ethan Weber, Jin Kyu Kim, Rawal Khirodkar, Su Zhaoen, Julieta Martinez, Igor Gilitschenski, Shunsuke Saito, Timur Bagautdinov
CoRL 2025 Pseudo-Simulation for Autonomous Driving Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
NeurIPS 2025 SAFE: Multitask Failure Detection for Vision-Language-Action Models Qiao Gu, Yuanliang Ju, Shengxiang Sun, Igor Gilitschenski, Haruki Nishimura, Masha Itkina, Florian Shkurti
ICLR 2025 SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generation Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant, Igor Gilitschenski, David B. Lindell
ICCV 2025 TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras Mohammad Mohammadi, Ziyi Wu, Igor Gilitschenski
WACV 2025 Towards Unsupervised Blind Face Restoration Using Diffusion Prior Tianshu Kuai, Sina Honari, Igor Gilitschenski, Alex Levinshtein
NeurIPS 2025 Track, Inpaint, Resplat: Subject-Driven 3D and 4D Generation with Progressive Texture Infilling Shuhong Zheng, Ashkan Mirzaei, Igor Gilitschenski
NeurIPS 2025 UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting Kai He, Ruofan Liang, Jacob Munkberg, Jon Hasselgren, Nandita Vijaykumar, Alexander Keller, Sanja Fidler, Igor Gilitschenski, Zan Gojcic, Zian Wang
ECCV 2024 Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic
WACV 2024 AvatarOne: Monocular 3D Human Animation Akash Karthikeyan, Robert Ren, Yash Kant, Igor Gilitschenski
NeurIPS 2024 GaussianCut: Interactive Segmentation via Graph Cut for 3D Gaussian Splatting Umangi Jain, Ashkan Mirzaei, Igor Gilitschenski
CVPR 2024 LEOD: Label-Efficient Object Detection for Event Cameras Ziyi Wu, Mathias Gehrig, Qing Lyu, Xudong Liu, Igor Gilitschenski
NeurIPS 2024 NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking Daniel Dauner, Marcel Hallgarten, Tianyu Li, Xinshuo Weng, Zhiyu Huang, Zetong Yang, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
NeurIPS 2024 Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
CVPR 2024 Producing and Leveraging Online mAP Uncertainty in Trajectory Prediction Xunjiang Gu, Guanyu Song, Igor Gilitschenski, Marco Pavone, Boris Ivanovic
CVPR 2024 SPAD: Spatially Aware Multi-View Diffusers Yash Kant, Aliaksandr Siarohin, Ziyi Wu, Michael Vasilkovsky, Guocheng Qian, Jian Ren, Riza Alp Guler, Bernard Ghanem, Sergey Tulyakov, Igor Gilitschenski
ECCV 2024 Watch Your Steps: Local Image and Scene Editing by Text Instructions Ashkan Mirzaei, Tristan T Aumentado-Armstrong, Marcus A Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G Derpanis, Igor Gilitschenski
CVPRW 2023 CAMM: Building Category-Agnostic and Animatable 3D Models from Monocular Videos Tianshu Kuai, Akash Karthikeyan, Yash Kant, Ashkan Mirzaei, Igor Gilitschenski
CoRL 2023 Dynamic Multi-Team Racing: Competitive Driving on 1/10-Th Scale Vehicles via Learning in Simulation Peter Werner, Tim Seyde, Paul Drews, Thomas Matrai Balch, Igor Gilitschenski, Wilko Schwarting, Guy Rosman, Sertac Karaman, Daniela Rus
CoRL 2023 Geometry Matching for Multi-Embodiment Grasping Maria Attarian, Muhammad Adil Asif, Jingzhou Liu, Ruthrash Hari, Animesh Garg, Igor Gilitschenski, Jonathan Tompson
CVPR 2023 Invertible Neural Skinning Yash Kant, Aliaksandr Siarohin, Riza Alp Guler, Menglei Chai, Jian Ren, Sergey Tulyakov, Igor Gilitschenski
ICCV 2023 Reference-Guided Controllable Inpainting of Neural Radiance Fields Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski
CVPR 2023 SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields Ashkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
NeurIPS 2023 SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg
ICLR 2023 Solving Continuous Control via Q-Learning Tim Seyde, Peter Werner, Wilko Schwarting, Igor Gilitschenski, Martin Riedmiller, Daniela Rus, Markus Wulfmeier
CVPR 2023 SparsePose: Sparse-View Camera Pose Regression and Refinement Samarth Sinha, Jason Y. Zhang, Andrea Tagliasacchi, Igor Gilitschenski, David B. Lindell
NeurIPS 2023 Trajdata: A Unified Interface to Multiple Human Trajectory Datasets Boris Ivanovic, Guanyu Song, Igor Gilitschenski, Marco Pavone
ECCV 2022 Housekeep: Tidying Virtual Households Using Commonsense Reasoning Yash Kant, Arun Ramachandran, Sriram Yenamandra, Igor Gilitschenski, Dhruv Batra, Andrew Szot, Harsh Agrawal
ECCV 2022 LaTeRF: Label and Text Driven Object Radiance Fields Ashkan Mirzaei, Yash Kant, Jonathan Kelly, Igor Gilitschenski
L4DC 2022 Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
NeurIPS 2021 Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies Tim Seyde, Igor Gilitschenski, Wilko Schwarting, Bartolomeo Stellato, Martin Riedmiller, Markus Wulfmeier, Daniela Rus
NeurIPSW 2021 Neighborhood Mixup Experience Replay: Local Convex Interpolation for Improved Sample Efficiency in Continuous Control Tasks Ryan Sander, Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Sertac Karaman, Daniela Rus
CoRL 2021 Strength Through Diversity: Robust Behavior Learning via Mixture Policies Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus
NeurIPSW 2021 Strength Through Diversity: Robust Behavior Learning via Mixture Policies Tim Seyde, Wilko Schwarting, Igor Gilitschenski, Markus Wulfmeier, Daniela Rus
CoRL 2020 Deep Latent Competition: Learning to Race Using Visual Control Policies in Latent Space Wilko Schwarting, Tim Seyde, Igor Gilitschenski, Lucas Liebenwein, Ryan Sander, Sertac Karaman, Daniela Rus
ICLR 2020 Deep Orientation Uncertainty Learning Based on a Bingham Loss Igor Gilitschenski, Roshni Sahoo, Wilko Schwarting, Alexander Amini, Sertac Karaman, Daniela Rus
CoRL 2020 Differentiable Logic Layer for Rule Guided Trajectory Prediction Xiao Li, Guy Rosman, Igor Gilitschenski, Jonathan DeCastro, Cristian-Ioan Vasile, Sertac Karaman, Daniela Rus
ICLR 2019 Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
ICMLW 2019 Real-World Autonomous Vehicle Control Trained Entirely Within Data-Driven Simulation Alexander Amini, Igor Gilitschenski, Jacob Phillips, Julia Moseyko, Sertac Karaman, Daniela Rus