Andreas Geiger

research

∙ 05/03/2023

AG3D: Learning to Generate 3D Avatars from 2D Image Collections

While progress in 2D generative models of human appearance has been rapi...

0 Zijian Dong, et al. ∙

research

∙ 02/23/2023

MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes

Neural radiance fields enable state-of-the-art photorealistic view synth...

0 Christian Reiser, et al. ∙

research

∙ 02/07/2023

NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM

Neural implicit representations have recently become popular in simultan...

0 Zihan Zhu, et al. ∙

research

∙ 02/02/2023

Factor Fields: A Unified Framework for Neural Fields and Beyond

We present Factor Fields, a novel framework for modeling and representin...

0 Anpei Chen, et al. ∙

research

∙ 01/23/2023

StyleGAN-T: Unlocking the Power of GANs for Fast Large-Scale Text-to-Image Synthesis

Text-to-image synthesis has recently seen significant progress thanks to...

5 Axel Sauer, et al. ∙

research

∙ 12/22/2022

GOOD: Exploring Geometric Cues for Detecting Objects in an Open World

We address the task of open-world class-agnostic object detection, i.e.,...

7 Haiwen Huang, et al. ∙

research

∙ 11/28/2022

Fast-SNARF: A Fast Deformer for Articulated Neural Fields

Neural fields have revolutionized the area of 3D reconstruction and nove...

0 Xu Chen, et al. ∙

research

∙ 10/28/2022

NeRFPlayer: A Streamable Dynamic Scene Representation with Decomposed Neural Radiance Fields

Visually exploring in a real-world 4D spatiotemporal space freely in VR ...

0 Liangchen Song, et al. ∙

research

∙ 10/25/2022

PlanT: Explainable Planning Transformers via Object-Level Representations

Planning an optimal route in a complex environment requires efficient re...

0 Katrin Renz, et al. ∙

research

∙ 10/18/2022

ARAH: Animatable Volume Rendering of Articulated Human SDFs

Combining human body models with differentiable rendering has recently e...

0 Shaofei Wang, et al. ∙

research

∙ 06/15/2022

VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids

State-of-the-art 3D-aware generative models rely on coordinate-based MLP...

0 Katja Schwarz, et al. ∙

research

∙ 06/01/2022

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

In recent years, neural implicit surface reconstruction methods have bec...

2 Zehao Yu, et al. ∙

research

∙ 05/31/2022

TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving

How should we integrate representations from complementary sensors for a...

28 Kashyap Chitta, et al. ∙

research

∙ 04/28/2022

KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients

Simulators offer the possibility of safe, low-cost development of self-d...

10 Niklas Hanselmann, et al. ∙

research

∙ 03/29/2022

Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation

Large-scale training data with high-quality annotations is critical for ...

0 Xiao Fu, et al. ∙

research

∙ 03/17/2022

TensoRF: Tensorial Radiance Fields

We present TensoRF, a novel approach to model and reconstruct radiance f...

2 Anpei Chen, et al. ∙

research

∙ 03/03/2022

PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence

We present a novel method to learn Personalized Implicit Neural Avatars ...

0 Zijian Dong, et al. ∙

research

∙ 02/01/2022

StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

Computer graphics has experienced a recent surge of data-centric approac...

11 Axel Sauer, et al. ∙

research

∙ 01/11/2022

gDNA: Towards Generative Detailed Neural Avatars

To make 3D human avatars widely available, we must be able to generate a...

16 Xu Chen, et al. ∙

research

∙ 12/01/2021

RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs

Neural Radiance Fields (NeRF) have emerged as a powerful representation ...

0 Michael Niemeyer, et al. ∙

research

∙ 11/03/2021

On the Frequency Bias of Generative Models

The key objective of Generative Adversarial Networks (GANs) is to genera...

26 Katja Schwarz, et al. ∙

research

∙ 11/01/2021

Projected GANs Converge Faster

Generative Adversarial Networks (GANs) produce high-quality images but a...

25 Axel Sauer, et al. ∙

research

∙ 10/07/2021

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

The ability to synthesize realistic and diverse indoor furniture layouts...

7 Despoina Paschalidou, et al. ∙

research

∙ 09/28/2021

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

For the last few decades, several major subfields of artificial intellig...

32 Yiyi Liao, et al. ∙

research

∙ 09/09/2021

NEAT: Neural Attention Fields for End-to-End Autonomous Driving

Efficient reasoning about the semantic, spatial, and temporal structure ...

20 Kashyap Chitta, et al. ∙

research

∙ 07/09/2021

Learning Cascaded Detection Tasks with Weakly-Supervised Domain Adaptation

In order to handle the challenges of autonomous driving, deep learning h...

5 Niklas Hanselmann, et al. ∙

research

∙ 06/22/2021

MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images

In this paper, we aim to create generalizable and controllable neural si...

0 Shaofei Wang, et al. ∙

research

∙ 06/07/2021

Shape As Points: A Differentiable Poisson Solver

In recent years, neural implicit representations gained popularity in 3D...

10 Songyou Peng, et al. ∙

research

∙ 04/20/2021

UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction

Neural implicit 3D representations have emerged as a powerful paradigm f...

10 Michael Oechsle, et al. ∙

research

∙ 04/19/2021

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

How should representations from complementary sensors be integrated for ...

33 Aditya Prakash, et al. ∙

research

∙ 04/16/2021

Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration

Registering point clouds of dressed humans to parametric human models is...

7 Shaofei Wang, et al. ∙

research

∙ 04/08/2021

SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes

Neural implicit surface representations have emerged as a promising para...

0 Xu Chen, et al. ∙

research

∙ 04/08/2021

SMD-Nets: Stereo Mixture Density Networks

Despite stereo matching accuracy has greatly improved by deep learning i...

8 Fabio Tosi, et al. ∙

research

∙ 03/31/2021

CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields

Tremendous progress in deep generative models has led to photorealistic ...

0 Michael Niemeyer, et al. ∙

research

∙ 03/25/2021

KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs

NeRF synthesizes novel views of a scene with unprecedented quality by fi...

25 Christian Reiser, et al. ∙

research

∙ 03/18/2021

Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

Impressive progress in 3D shape extraction led to representations that c...

122 Despoina Paschalidou, et al. ∙

research

∙ 02/23/2021

STEP: Segmenting and Tracking Every Pixel

In this paper, we tackle video panoptic segmentation, a task that requir...

0 Mark Weber, et al. ∙

research

∙ 01/15/2021

Counterfactual Generative Networks

Neural networks are prone to learning shortcuts – they often model simpl...

8 Axel Sauer, et al. ∙

research

∙ 11/24/2020

GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields

Deep generative models allow for photorealistic image synthesis at high ...

0 Michael Niemeyer, et al. ∙

research

∙ 09/16/2020

HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking

Multi-Object Tracking (MOT) has been notoriously difficult to evaluate. ...

15 Jonathon Luiten, et al. ∙

research

∙ 08/18/2020

Category Level Object Pose Estimation via Neural Analysis-by-Synthesis

Many object pose estimation algorithms rely on the analysis-by-synthesis...

0 Xu Chen, et al. ∙

research

∙ 07/05/2020

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis

While 2D generative adversarial networks have enabled high-resolution im...

33 Katja Schwarz, et al. ∙

research

∙ 06/29/2020

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition

Neural rendering techniques promise efficient photo-realistic image synt...

10 Hassan Abu Alhaija, et al. ∙

research

∙ 06/12/2020

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences

Perceiving the world in terms of objects is a crucial prerequisite for r...

14 Marissa A. Weis, et al. ∙

research

∙ 06/05/2020

Learning Neural Light Transport

In recent years, deep generative models have gained significance due to ...

0 Paul Sanzenbacher, et al. ∙

research

∙ 05/20/2020

Label Efficient Visual Abstractions for Autonomous Driving

It is well known that semantic segmentation can be used as an effective ...

0 Aseem Behl, et al. ∙

research

∙ 04/02/2020

Learning Unsupervised Hierarchical Part Decomposition of 3D Objects from a Single RGB Image

Humans perceive the 3D world as a set of distinct objects that are chara...

9 Despoina Paschalidou, et al. ∙

research

∙ 03/27/2020

Learning Implicit Surface Light Fields

Implicit representations of 3D objects have recently achieved impressive...

1 Michael Oechsle, et al. ∙

research

∙ 03/10/2020

Convolutional Occupancy Networks

Recently, implicit neural representations have gained popularity for lea...

12 Songyou Peng, et al. ∙

research

∙ 02/10/2020

Self-Supervised Linear Motion Deblurring

Motion blurry images challenge many computer vision algorithms, e.g, fea...

8 Peidong Liu, et al. ∙

Andreas Geiger

Featured Co-authors