research
∙
09/19/2023
PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes
Training perception systems for self-driving cars requires substantial a...
share
research
∙
08/24/2023
On Offline Evaluation of 3D Object Detection for Autonomous Driving
Prior work in 3D object detection evaluates models using offline metrics...
research
∙
06/29/2023
End-to-end Autonomous Driving: Challenges and Frontiers
The autonomous driving community has witnessed a rapid growth in approac...
research
∙
06/13/2023
Parting with Misconceptions about Learning-based Vehicle Motion Planning
The release of nuPlan marks a new era in vehicle motion planning researc...
research
∙
06/13/2023
Hidden Biases of End-to-End Driving Models
End-to-end driving systems have recently made rapid progress, in particu...
research
∙
06/06/2023
Towards Scalable Multi-View Reconstruction of Geometry and Materials
In this paper, we propose a novel method for joint recovery of camera po...
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...
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...
research
∙
02/07/2023
NICER-SLAM: Neural Implicit Scene Encoding for RGB SLAM
Neural implicit representations have recently become popular in simultan...
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...
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...
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.,...
research
∙
11/28/2022
Fast-SNARF: A Fast Deformer for Articulated Neural Fields
Neural fields have revolutionized the area of 3D reconstruction and nove...
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 ...
research
∙
10/25/2022
PlanT: Explainable Planning Transformers via Object-Level Representations
Planning an optimal route in a complex environment requires efficient re...
research
∙
10/18/2022
ARAH: Animatable Volume Rendering of Articulated Human SDFs
Combining human body models with differentiable rendering has recently e...
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...
research
∙
06/01/2022
MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction
In recent years, neural implicit surface reconstruction methods have bec...
research
∙
05/31/2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving
How should we integrate representations from complementary sensors for a...
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...
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 ...
research
∙
03/17/2022
TensoRF: Tensorial Radiance Fields
We present TensoRF, a novel approach to model and reconstruct radiance f...
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 ...
research
∙
02/01/2022
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Computer graphics has experienced a recent surge of data-centric approac...
research
∙
01/11/2022
gDNA: Towards Generative Detailed Neural Avatars
To make 3D human avatars widely available, we must be able to generate a...
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 ...
research
∙
11/03/2021
On the Frequency Bias of Generative Models
The key objective of Generative Adversarial Networks (GANs) is to genera...
research
∙
11/01/2021
Projected GANs Converge Faster
Generative Adversarial Networks (GANs) produce high-quality images but a...
research
∙
10/07/2021
ATISS: Autoregressive Transformers for Indoor Scene Synthesis
The ability to synthesize realistic and diverse indoor furniture layouts...
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...
research
∙
09/09/2021
NEAT: Neural Attention Fields for End-to-End Autonomous Driving
Efficient reasoning about the semantic, spatial, and temporal structure ...
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...
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...
research
∙
06/07/2021
Shape As Points: A Differentiable Poisson Solver
In recent years, neural implicit representations gained popularity in 3D...
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...
research
∙
04/19/2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
How should representations from complementary sensors be integrated for ...
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...
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...
research
∙
04/08/2021
SMD-Nets: Stereo Mixture Density Networks
Despite stereo matching accuracy has greatly improved by deep learning i...
research
∙
03/31/2021
CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields
Tremendous progress in deep generative models has led to photorealistic ...
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...
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...
research
∙
02/23/2021
STEP: Segmenting and Tracking Every Pixel
In this paper, we tackle video panoptic segmentation, a task that requir...
research
∙
01/15/2021
Counterfactual Generative Networks
Neural networks are prone to learning shortcuts – they often model simpl...
research
∙
11/24/2020
GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields
Deep generative models allow for photorealistic image synthesis at high ...
research
∙
09/16/2020
HOTA: A Higher Order Metric for Evaluating Multi-Object Tracking
Multi-Object Tracking (MOT) has been notoriously difficult to evaluate. ...
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...
research
∙
07/05/2020
GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
While 2D generative adversarial networks have enabled high-resolution im...
research
∙
06/29/2020
Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition
Neural rendering techniques promise efficient photo-realistic image synt...
research
∙
06/12/2020