← Authors

Andreas Geiger

108 papers · 2011–2025 · 9 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (9) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (14) πŸ—ΊοΈ Taxonomy Completionist (12) 🏠 Conference Loyalist (49) 🌟 Keyword Trendsetter Combo (4) 🀝 Dynamic Duo (17) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ”¬ Deep Specialist (46) πŸ”₯ Unstoppable (11) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (409) ⚑ Prolific Year (9) ❓ The Questioner (2) πŸ’Ž Century Club (108) πŸ“ˆ Trend Setter

Conferences

CVPR (49) ICCV (17) ECCV (14) NIPS (13) CORL (5) ICLR (5) ICML (3) ACL (1) JMLR (1)

Top co-authors

Kashyap Chitta (17) Yiyi Liao (14) Michael Niemeyer (11) Anpei Chen (10) Lars Mescheder (9) Marc Pollefeys (9) Michael J. Black (8) Katja Schwarz (7) Songyou Peng (7) Siyu Tang (6)

Research topics

Computer Vision (1)

Keywords

3d reconstruction (23) autonomous driving (15) novel view synthesis (13) point cloud (10) generative model (9) neural radiance field (8) generative adversarial network (7) 3d vision (7) 3d gaussian splatting (6) scene understanding (6) neural rendering (5) object detection (5) unsupervised learning (4) semantic segmentation (4) motion estimation (4) implicit representation (4) image generation (4) imitation learning (4) pose estimation (4) depth estimation (4)

Papers

MoGA: 3D Generative Avatar Prior for Monocular Gaussian Avatar Reconstruction ICCV 2025
DepthSplat: Connecting Gaussian Splatting and Depth CVPR 2025
GenFusion: Closing the Loop between Reconstruction and Generation via Videos CVPR 2025
EVolSplat: Efficient Volume-based Gaussian Splatting for Urban View Synthesis CVPR 2025
Volumetric Surfaces: Representing Fuzzy Geometries with Layered Meshes CVPR 2025
UrbanCAD: Towards Highly Controllable and Photorealistic 3D Vehicles for Urban Scene Simulation CVPR 2025
Prometheus: 3D-Aware Latent Diffusion Models for Feed-Forward Text-to-3D Scene Generation CVPR 2025
LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models ICCV 2025
Easi3R: Estimating Disentangled Motion from DUSt3R Without Training ICCV 2025
Artificial Kuramoto Oscillatory Neurons ICLR 2025
Pseudo-Simulation for Autonomous Driving CORL 2025
CaRL: Learning Scalable Planning Policies with Simple Rewards CORL 2025
Scholar Inbox: Personalized Paper Recommendations for Scientists ACL 2025
GraphDreamer: Compositional 3D Scene Synthesis from Scene Graphs CVPR 2024
NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis CVPR 2024
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting CVPR 2024
Mip-Splatting: Alias-free 3D Gaussian Splatting CVPR 2024
Generalized Predictive Model for Autonomous Driving CVPR 2024
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting CVPR 2024
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing CVPR 2024
MuRF: Multi-Baseline Radiance Fields CVPR 2024
GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers ICLR 2024
WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space ICLR 2024
LISO: Lidar-only Self-Supervised 3D Object Detection ECCV 2024
DriveLM: Driving with Graph Visual Question Answering ECCV 2024
Efficient Depth-Guided Urban View Synthesis ECCV 2024
NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking NIPS 2024
Renovating Names in Open-Vocabulary Segmentation Benchmarks NIPS 2024
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability NIPS 2024
MVSplat: Efficient 3D Gaussian Splatting from Sparse Multi-View Images ECCV 2024
LaRa: Efficient Large-Baseline Radiance Fields ECCV 2024
SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic ECCV 2024
AG3D: Learning to Generate 3D Avatars from 2D Image Collections ICCV 2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning CORL 2023
Hidden Biases of End-to-End Driving Models ICCV 2023
GOOD: Exploring geometric cues for detecting objects in an open world ICLR 2023
StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis ICML 2023
VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids NIPS 2022
PlanT: Explainable Planning Transformers via Object-Level Representations CORL 2022
KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients ECCV 2022
TensoRF: Tensorial Radiance Fields ECCV 2022
ARAH: Animatable Volume Rendering of Articulated Human SDFs ECCV 2022
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction NIPS 2022
PINA: Learning a Personalized Implicit Neural Avatar From a Single RGB-D Video Sequence CVPR 2022
gDNA: Towards Generative Detailed Neural Avatars CVPR 2022
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis From Sparse Inputs CVPR 2022
ATISS: Autoregressive Transformers for Indoor Scene Synthesis NIPS 2021
Shape As Points: A Differentiable Poisson Solver NIPS 2021
Projected GANs Converge Faster NIPS 2021
SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation ICCV 2021
UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction ICCV 2021
KiloNeRF: Speeding Up Neural Radiance Fields With Thousands of Tiny MLPs ICCV 2021
SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes ICCV 2021
On the Frequency Bias of Generative Models NIPS 2021
NEAT: Neural Attention Fields for End-to-End Autonomous Driving ICCV 2021
MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images NIPS 2021
Benchmarking Unsupervised Object Representations for Video Sequences JMLR 2021
GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields CVPR 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving CVPR 2021
Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration CVPR 2021
SMD-Nets: Stereo Mixture Density Networks CVPR 2021
Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks CVPR 2021
Counterfactual Generative Networks ICLR 2021
Category Level Object Pose Estimation via Neural Analysis-by-Synthesis ECCV 2020
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner CVPR 2020
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image CVPR 2020
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision CVPR 2020
Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis CVPR 2020
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving CVPR 2020
Learning Situational Driving CVPR 2020
Convolutional Occupancy Networks ECCV 2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis NIPS 2020
MOTS: Multi-Object Tracking and Segmentation CVPR 2019
Attacking Optical Flow ICCV 2019
Texture Fields: Learning Texture Representations in Function Space ICCV 2019
Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics ICCV 2019
Occupancy Networks: Learning 3D Reconstruction in Function Space CVPR 2019
Superquadrics Revisited: Learning 3D Shape Parsing Beyond Cuboids CVPR 2019
PointFlowNet: Learning Representations for Rigid Motion Estimation From Point Clouds CVPR 2019
Learning Non-Volumetric Depth Fusion Using Successive Reprojections CVPR 2019
Taking a Deeper Look at the Inverse Compositional Algorithm CVPR 2019
Connecting the Dots: Learning Representations for Active Monocular Depth Estimation CVPR 2019
Conditional Affordance Learning for Driving in Urban Environments CORL 2018
Unsupervised Learning of Multi-Frame Optical Flow with Occlusions ECCV 2018
Learning 3D Shape Completion From Laser Scan Data With Weak Supervision CVPR 2018
Learning Priors for Semantic 3D Reconstruction ECCV 2018
Which Training Methods for GANs do actually Converge? ICML 2018
Deep Marching Cubes: Learning Explicit Surface Representations CVPR 2018
RayNet: Learning Volumetric 3D Reconstruction With Ray Potentials CVPR 2018
Semantic Visual Localization CVPR 2018
SphereNet: Learning Spherical Representations for Detection and Classification in Omnidirectional Images ECCV 2018
Semantic Multi-View Stereo: Jointly Estimating Objects and Voxels CVPR 2017
Bounding Boxes, Segmentations and Object Coordinates: How Important Is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? ICCV 2017
The Numerics of GANs NIPS 2017
Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks ICML 2017
A Multi-View Stereo Benchmark With High-Resolution Images and Multi-Camera Videos CVPR 2017
OctNet: Learning Deep 3D Representations at High Resolutions CVPR 2017
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data CVPR 2017
Toroidal Constraints for Two-Point Localization Under High Outlier Ratios CVPR 2017
Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction CVPR 2016
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer CVPR 2016
Object Scene Flow for Autonomous Vehicles CVPR 2015
FollowMe: Efficient Online Min-Cost Flow Tracking With Bounded Memory and Computation ICCV 2015
Displets: Resolving Stereo Ambiguities Using Object Knowledge CVPR 2015
Exploiting Object Similarity in 3D Reconstruction ICCV 2015
Understanding High-Level Semantics by Modeling Traffic Patterns ICCV 2013
Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization CVPR 2013
Joint 3D Estimation of Objects and Scene Layout NIPS 2011