Geiger, Andreas

95 publications

ICLR 2025 Artificial Kuramoto Oscillatory Neurons Takeru Miyato, Sindy Löwe, Andreas Geiger, Max Welling

CoRL 2025 CaRL: Learning Scalable Planning Policies with Simple Rewards Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, Andreas Geiger

CVPR 2025 DepthSplat: Connecting Gaussian Splatting and Depth Haofei Xu, Songyou Peng, Fangjinhua Wang, Hermann Blum, Daniel Barath, Andreas Geiger, Marc Pollefeys

CVPR 2025 EVolSplat: Efficient Volume-Based Gaussian Splatting for Urban View Synthesis Sheng Miao, Jiaxin Huang, Dongfeng Bai, Xu Yan, Hongyu Zhou, Yue Wang, Bingbing Liu, Andreas Geiger, Yiyi Liao

ICCV 2025 Easi3R: Estimating Disentangled Motion from DUSt3R Without Training Xingyu Chen, Yue Chen, Yuliang Xiu, Andreas Geiger, Anpei Chen

CVPR 2025 GenFusion: Closing the Loop Between Reconstruction and Generation via Videos Sibo Wu, Congrong Xu, Binbin Huang, Andreas Geiger, Anpei Chen

ICCV 2025 LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models Haiwen Huang, Anpei Chen, Volodymyr Havrylov, Andreas Geiger, Dan Zhang

ICCV 2025 MoGA: 3D Generative Avatar Prior for Monocular Gaussian Avatar Reconstruction Zijian Dong, Longteng Duan, Jie Song, Michael J. Black, Andreas Geiger

CVPR 2025 Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation Yuanbo Yang, Jiahao Shao, Xinyang Li, Yujun Shen, Andreas Geiger, Yiyi Liao

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 ReSim: Reliable World Simulation for Autonomous Driving Jiazhi Yang, Kashyap Chitta, Shenyuan Gao, Long Chen, Yuqian Shao, Xiaosong Jia, Hongyang Li, Andreas Geiger, Xiangyu Yue, Li Chen

CVPR 2025 UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation Yichong Lu, Yichi Cai, Shangzhan Zhang, Hongyu Zhou, Haoji Hu, Huimin Yu, Andreas Geiger, Yiyi Liao

CVPR 2025 Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes Stefano Esposito, Anpei Chen, Christian Reiser, Samuel Rota Bulò, Lorenzo Porzi, Katja Schwarz, Christian Richardt, Michael Zollhöfer, Peter Kontschieder, Andreas Geiger

CVPR 2024 3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting Zhiyin Qian, Shaofei Wang, Marko Mihajlovic, Andreas Geiger, Siyu Tang

ECCV 2024 DriveLM: Driving with Graph Visual Question Answering Chonghao Sima, Katrin Renz, Kashyap Chitta, Li Chen, Zhang Hanxue, Chengen Xie, Jens Beißwenger, Ping Luo, Andreas Geiger, Hongyang Li

ECCV 2024 Efficient Depth-Guided Urban View Synthesis Sheng Miao, Jiaxin Huang, Dongfeng Bai, Weichao Qiu, Liu Bingbing, Andreas Geiger, Yiyi Liao

ICLR 2024 GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger

CVPR 2024 Generalized Predictive Model for Autonomous Driving Jiazhi Yang, Shenyuan Gao, Yihang Qiu, Li Chen, Tianyu Li, Bo Dai, Kashyap Chitta, Penghao Wu, Jia Zeng, Ping Luo, Jun Zhang, Andreas Geiger, Yu Qiao, Hongyang Li

CVPR 2024 GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs Gege Gao, Weiyang Liu, Anpei Chen, Andreas Geiger, Bernhard Schölkopf

CVPR 2024 HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting Hongyu Zhou, Jiahao Shao, Lu Xu, Dongfeng Bai, Weichao Qiu, Bingbing Liu, Yue Wang, Andreas Geiger, Yiyi Liao

CVPR 2024 IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing Shaofei Wang, Bozidar Antic, Andreas Geiger, Siyu Tang

ECCV 2024 LISO: LiDAR-Only Self-Supervised 3D Object Detection Stefan Andreas Baur, Frank Moosmann, Andreas Geiger

ECCV 2024 LaRa: Efficient Large-Baseline Radiance Fields Anpei Chen, Haofei Xu, Stefano Esposito, Siyu Tang, Andreas Geiger

ECCV 2024 MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images Yuedong Chen, Haofei Xu, Chuanxia Zheng, Bohan Zhuang, Marc Pollefeys, Andreas Geiger, Tat-Jen Cham, Jianfei Cai

CVPR 2024 Mip-Splatting: Alias-Free 3D Gaussian Splatting Zehao Yu, Anpei Chen, Binbin Huang, Torsten Sattler, Andreas Geiger

CVPR 2024 MuRF: Multi-Baseline Radiance Fields Haofei Xu, Anpei Chen, Yuedong Chen, Christos Sakaridis, Yulun Zhang, Marc Pollefeys, Andreas Geiger, Fisher Yu

ICLRW 2024 Multimodal Dataset Upgrading: A New Challenge for Data Annotation Haiwen Huang, Dan Zhang, Andreas Geiger

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

CVPR 2024 NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis Zinuo You, Andreas Geiger, Anpei Chen

NeurIPS 2024 Renovating Names in Open-Vocabulary Segmentation Benchmarks Haiwen Huang, Songyou Peng, Dan Zhang, Andreas Geiger

ECCV 2024 SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic Kashyap Chitta, Daniel Dauner, Andreas Geiger

NeurIPS 2024 Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability Shenyuan Gao, Jiazhi Yang, Li Chen, Kashyap Chitta, Yihang Qiu, Andreas Geiger, Jun Zhang, Hongyang Li

ICLR 2024 WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger, Karsten Kreis

ICCV 2023 AG3D: Learning to Generate 3D Avatars from 2D Image Collections Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger

ICLR 2023 GOOD: Exploring Geometric Cues for Detecting Objects in an Open World Haiwen Huang, Andreas Geiger, Dan Zhang

ICCV 2023 Hidden Biases of End-to-End Driving Models Bernhard Jaeger, Kashyap Chitta, Andreas Geiger

ICCVW 2023 On Offline Evaluation of 3D Object Detection for Autonomous Driving Tim Schreier, Katrin Renz, Andreas Geiger, Kashyap Chitta

CoRL 2023 Parting with Misconceptions About Learning-Based Vehicle Motion Planning Daniel Dauner, Marcel Hallgarten, Andreas Geiger, Kashyap Chitta

ICML 2023 StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila

ECCV 2022 ARAH: Animatable Volume Rendering of Articulated Human SDFs Shaofei Wang, Katja Schwarz, Andreas Geiger, Siyu Tang

ECCV 2022 KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients Niklas Hanselmann, Katrin Renz, Kashyap Chitta, Apratim Bhattacharyya, Andreas Geiger

NeurIPS 2022 MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger

CVPR 2022 PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges

CoRL 2022 PlanT: Explainable Planning Transformers via Object-Level Representations Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger

CVPR 2022 RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan

ECCV 2022 TensoRF: Tensorial Radiance Fields Anpei Chen, Zexiang Xu, Andreas Geiger, Jingyi Yu, Hao Su

NeurIPS 2022 VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids Katja Schwarz, Axel Sauer, Michael Niemeyer, Yiyi Liao, Andreas Geiger

CVPR 2022 gDNA: Towards Generative Detailed Neural Avatars Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges

NeurIPS 2021 ATISS: Autoregressive Transformers for Indoor Scene Synthesis Despoina Paschalidou, Amlan Kar, Maria Shugrina, Karsten Kreis, Andreas Geiger, Sanja Fidler

JMLR 2021 Benchmarking Unsupervised Object Representations for Video Sequences Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker

ICLR 2021 Counterfactual Generative Networks Axel Sauer, Andreas Geiger

CVPR 2021 GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields Michael Niemeyer, Andreas Geiger

ICCV 2021 KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger

CVPR 2021 Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration Shaofei Wang, Andreas Geiger, Siyu Tang

NeurIPS 2021 MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images Shaofei Wang, Marko Mihajlovic, Qianli Ma, Andreas Geiger, Siyu Tang

CVPR 2021 Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash, Kashyap Chitta, Andreas Geiger

ICCV 2021 NEAT: Neural Attention Fields for End-to-End Autonomous Driving Kashyap Chitta, Aditya Prakash, Andreas Geiger

CVPR 2021 Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler

NeurIPS 2021 On the Frequency Bias of Generative Models Katja Schwarz, Yiyi Liao, Andreas Geiger

NeurIPS 2021 Projected GANs Converge Faster Axel Sauer, Kashyap Chitta, Jens Müller, Andreas Geiger

ICCV 2021 SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger

CVPR 2021 SMD-Nets: Stereo Mixture Density Networks Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger

ICCV 2021 SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger

NeurIPS 2021 Shape as Points: A Differentiable Poisson Solver Songyou Peng, Chiyu Jiang, Yiyi Liao, Michael Niemeyer, Marc Pollefeys, Andreas Geiger

ICCV 2021 UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction Michael Oechsle, Songyou Peng, Andreas Geiger

ECCV 2020 Category Level Object Pose Estimation via Neural Analysis-by-Synthesis Xu Chen, Zijian Dong, Jie Song, Andreas Geiger, Otmar Hilliges

ECCV 2020 Convolutional Occupancy Networks Songyou Peng, Michael Niemeyer, Lars Mescheder, Marc Pollefeys, Andreas Geiger

NeurIPS 2020 GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis Katja Schwarz, Yiyi Liao, Michael Niemeyer, Andreas Geiger

CoRL 2018 Conditional Affordance Learning for Driving in Urban Environments Axel Sauer, Nikolay Savinov, Andreas Geiger

ECCV 2018 Learning Priors for Semantic 3D Reconstruction Ian Cherabier, Johannes L. Schonberger, Martin R. Oswald, Marc Pollefeys, Andreas Geiger

ECCV 2018 SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images Benjamin Coors, Alexandru Paul Condurache, Andreas Geiger

ECCV 2018 Unsupervised Learning of Multi-Frame Optical Flow with Occlusions Joel Janai, Fatma Guney, Anurag Ranjan, Michael Black, Andreas Geiger

ICML 2018 Which Training Methods for GANs Do Actually Converge? Lars Mescheder, Andreas Geiger, Sebastian Nowozin

CVPR 2017 A Multi-View Stereo Benchmark with High-Resolution Images and Multi-Camera Videos Thomas Schops, Johannes L. Schonberger, Silvano Galliani, Torsten Sattler, Konrad Schindler, Marc Pollefeys, Andreas Geiger

ICML 2017 Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks Lars Mescheder, Sebastian Nowozin, Andreas Geiger

ICCV 2017 Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? Aseem Behl, Omid Hosseini Jafari, Siva Karthik Mustikovela, Hassan Abu Alhaija, Carsten Rother, Andreas Geiger

CVPR 2017 OctNet: Learning Deep 3D Representations at High Resolutions Gernot Riegler, Ali Osman Ulusoy, Andreas Geiger

CVPR 2017 Semantic Multi-View Stereo: Jointly Estimating Objects and Voxels Ali Osman Ulusoy, Michael J. Black, Andreas Geiger

CVPR 2017 Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data Joel Janai, Fatma Guney, Jonas Wulff, Michael J. Black, Andreas Geiger

NeurIPS 2017 The Numerics of GANs Lars Mescheder, Sebastian Nowozin, Andreas Geiger

CVPR 2017 Toroidal Constraints for Two-Point Localization Under High Outlier Ratios Federico Camposeco, Torsten Sattler, Andrea Cohen, Andreas Geiger, Marc Pollefeys

CVPR 2016 Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction Ali Osman Ulusoy, Michael J. Black, Andreas Geiger

CVPR 2016 Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer Jun Xie, Martin Kiefel, Ming-Ting Sun, Andreas Geiger

CVPR 2015 Displets: Resolving Stereo Ambiguities Using Object Knowledge Fatma Guney, Andreas Geiger

ICCV 2015 Exploiting Object Similarity in 3D Reconstruction Chen Zhou, Fatma Guney, Yizhou Wang, Andreas Geiger

ICCV 2015 FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation Philip Lenz, Andreas Geiger, Raquel Urtasun

CVPR 2015 Object Scene Flow for Autonomous Vehicles Moritz Menze, Andreas Geiger

CVPR 2013 Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization Marcus A. Brubaker, Andreas Geiger, Raquel Urtasun

ICCV 2013 Understanding High-Level Semantics by Modeling Traffic Patterns Hongyi Zhang, Andreas Geiger, Raquel Urtasun

CVPR 2012 Are We Ready for Autonomous Driving? the KITTI Vision Benchmark Suite Andreas Geiger, Philip Lenz, Raquel Urtasun

CVPR 2011 A Generative Model for 3D Urban Scene Understanding from Movable Platforms Andreas Geiger, Martin Lauer, Raquel Urtasun

NeurIPS 2011 Joint 3D Estimation of Objects and Scene Layout Andreas Geiger, Christian Wojek, Raquel Urtasun

CVPR 2009 Rank Priors for Continuous Non-Linear Dimensionality Reduction Andreas Geiger, Raquel Urtasun, Trevor Darrell

ICCVW 2009 Video-Based Raindrop Detection for Improved Image Registration Martin Roser, Andreas Geiger

ICML 2008 Topologically-Constrained Latent Variable Models Raquel Urtasun, David J. Fleet, Andreas Geiger, Jovan Popovic, Trevor Darrell, Neil D. Lawrence