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08/22/2023
ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes
We present ScanNet++, a large-scale dataset that couples together captur...
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07/04/2023
DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Recent Diffusion Transformers (e.g., DiT) have demonstrated their powerf...
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06/28/2023
DiffComplete: Diffusion-based Generative 3D Shape Completion
We introduce a new diffusion-based approach for shape completion on 3D r...
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06/15/2023
Estimating Generic 3D Room Structures from 2D Annotations
Indoor rooms are among the most common use cases in 3D scene understandi...
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06/15/2023
CAD-Estate: Large-scale CAD Model Annotation in RGB Videos
We propose a method for annotating videos of complex multi-object scenes...
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06/09/2023
GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
Neural Radiance Fields (NeRF) have shown impressive novel view synthesis...
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05/10/2023
HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion
Representing human performance at high-fidelity is an essential building...
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05/04/2023
NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads
We focus on reconstructing high-fidelity radiance fields of human heads,...
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03/29/2023
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion
Implicit neural fields, typically encoded by a multilayer perceptron (ML...
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03/24/2023
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis
We present DiffuScene for indoor 3D scene synthesis based on a novel sce...
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03/23/2023
TriPlaneNet: An Encoder for EG3D Inversion
Recent progress in NeRF-based GANs has introduced a number of approaches...
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03/21/2023
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models
We present Text2Room, a method for generating room-scale textured 3D mes...
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02/28/2023
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors
Current popular backbones in computer vision, such as Vision Transformer...
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12/19/2022
Panoptic Lifting for 3D Scene Understanding with Neural Fields
We propose Panoptic Lifting, a novel approach for learning panoptic 3D v...
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12/06/2022
Learning Neural Parametric Head Models
We propose a novel 3D morphable model for complete human heads based on ...
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12/05/2022
ObjectMatch: Robust Registration using Canonical Object Correspondences
We present ObjectMatch, a semantic and object-centric camera pose estima...
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12/02/2022
ClipFace: Text-guided Editing of Textured 3D Morphable Models
We propose ClipFace, a novel self-supervised approach for text-guided ed...
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12/02/2022
DiffRF: Rendering-Guided 3D Radiance Field Diffusion
We introduce DiffRF, a novel approach for 3D radiance field synthesis ba...
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11/25/2022
Neural Poisson: Indicator Functions for Neural Fields
Implicit neural field generating signed distance field representations (...
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11/25/2022
Learning 3D Scene Priors with 2D Supervision
Holistic 3D scene understanding entails estimation of both layout config...
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10/18/2022
How to Boost Face Recognition with StyleGAN?
State-of-the-art face recognition systems require huge amounts of labele...
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10/11/2022
The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes
Convolutional neural networks were the standard for solving many compute...
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10/11/2022
Neural Shape Deformation Priors
We present Neural Shape Deformation Priors, a novel method for shape man...
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06/28/2022
3D Multi-Object Tracking with Differentiable Pose Estimation
We propose a novel approach for joint 3D multi-object tracking and recon...
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05/30/2022
Fast Dynamic Radiance Fields with Time-Aware Neural Voxels
Neural radiance fields (NeRF) have shown great success in modeling 3D sc...
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05/27/2022
3DILG: Irregular Latent Grids for 3D Generative Modeling
We propose a new representation for encoding 3D shapes as neural fields....
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05/03/2022
End2End Multi-View Feature Matching using Differentiable Pose Optimization
Learning-based approaches have become indispensable for camera pose esti...
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04/07/2022
AutoRF: Learning 3D Object Radiance Fields from Single View Observations
We introduce AutoRF - a new approach for learning neural 3D object repre...
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04/06/2022
Audio-Visual Person-of-Interest DeepFake Detection
Face manipulation technology is advancing very rapidly, and new methods ...
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04/05/2022
Texturify: Generating Textures on 3D Shape Surfaces
Texture cues on 3D objects are key to compelling visual representations,...
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03/31/2022
3D Equivariant Graph Implicit Functions
In recent years, neural implicit representations have made remarkable pr...
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12/06/2021
Dense Depth Priors for Neural Radiance Fields from Sparse Input Views
Neural radiance fields (NeRF) encode a scene into a neural representatio...
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12/06/2021
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding
We present a new approach to instill 4D dynamic object priors into learn...
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12/03/2021
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image
We present ROCA, a novel end-to-end approach that retrieves and aligns 3...
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12/02/2021
Neural Head Avatars from Monocular RGB Videos
We present Neural Head Avatars, a novel neural representation that expli...
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12/02/2021
StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions
We apply style transfer on mesh reconstructions of indoor scenes. This e...
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12/01/2021
Pose2Room: Understanding 3D Scenes from Human Activities
With wearable IMU sensors, one can estimate human poses from wearable de...
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11/03/2021
Panoptic 3D Scene Reconstruction From a Single RGB Image
Understanding 3D scenes from a single image is fundamental to a wide var...
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07/07/2021
Egocentric Videoconferencing
We introduce a method for egocentric videoconferencing that enables hand...
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07/05/2021
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers
We introduce TransformerFusion, a transformer-based 3D scene reconstruct...
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04/22/2021
Pri3D: Can 3D Priors Help 2D Representation Learning?
Recent advances in 3D perception have shown impressive progress in under...
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04/09/2021
Neural RGB-D Surface Reconstruction
In this work, we explore how to leverage the success of implicit novel v...
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04/08/2021
Dynamic Surface Function Networks for Clothed Human Bodies
We present a novel method for temporal coherent reconstruction and track...
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04/01/2021
NPMs: Neural Parametric Models for 3D Deformable Shapes
Parametric 3D models have enabled a wide variety of tasks in computer gr...
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03/31/2021
RetrievalFuse: Neural 3D Scene Reconstruction with a Database
3D reconstruction of large scenes is a challenging problem due to the hi...
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01/15/2021
Catching Out-of-Context Misinformation with Self-supervised Learning
Despite the recent attention to DeepFakes and other forms of image manip...
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12/17/2020
SceneFormer: Indoor Scene Generation with Transformers
The task of indoor scene generation is to generate a sequence of objects...
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12/16/2020
Exploring Data-Efficient 3D Scene Understanding with Contrastive Scene Contexts
The rapid progress in 3D scene understanding has come with growing deman...
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12/15/2020
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences
Multi-object tracking from RGB-D video sequences is a challenging proble...
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12/08/2020