Andreas Geiger
108 papers · 2011–2025 · 9 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (12) π Interdisciplinary Bridge π Conference Polyglot (9)
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Interdisciplinary Bridge
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Academic Marathon
(14)
πΊοΈ
Taxonomy Completionist
(12)
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Conference Loyalist
(49)
π
Keyword Trendsetter Combo
(4)
π€
Dynamic Duo
(17)
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Keyword Champion
π±
Topic Pioneer
π¬
Deep Specialist
(46)
π₯
Unstoppable
(11)
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Conference Pioneer
ποΈ
Keyword Collector
(409)
β‘
Prolific Year
(9)
β
The Questioner
(2)
π
Century Club
(108)
π
Trend Setter
Conferences
CVPR (49)
ICCV (17)
ECCV (14)
NIPS (13)
CORL (5)
ICLR (5)
ICML (3)
ACL (1)
JMLR (1)
Top co-authors
Research topics
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