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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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04/12/2023
Mesh2Tex: Generating Mesh Textures from Image Queries
Remarkable advances have been achieved recently in learning neural repre...
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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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03/25/2023
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
3D instance segmentation is fundamental to geometric understanding of th...
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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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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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12/05/2022
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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11/25/2022
Forecasting Actions and Characteristic 3D Poses
We propose to model longer-term future human behavior by jointly predict...
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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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06/10/2022
PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories
While 3D shape representations enable powerful reasoning in many visual ...
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04/16/2022
Language-Grounded Indoor 3D Semantic Segmentation in the Wild
Recent advances in 3D semantic segmentation with deep neural networks ha...
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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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03/24/2022
Weakly-Supervised End-to-End CAD Retrieval to Scan Objects
CAD model retrieval to real-world scene observations has shown strong pr...
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03/17/2022
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans
3D object recognition has seen significant advances in recent years, sho...
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01/20/2022
SPAMs: Structured Implicit Parametric Models
Parametric 3D models have formed a fundamental role in modeling deformab...
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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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12/01/2021
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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08/20/2021
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image
3D perception of object shapes from RGB image input is fundamental towar...
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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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04/01/2021
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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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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12/03/2020
Towards Part-Based Understanding of RGB-D Scans
Recent advances in 3D semantic scene understanding have shown impressive...
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12/02/2020
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
We introduce Neural Deformation Graphs for globally-consistent deformati...
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11/30/2020
Forecasting Characteristic 3D Poses of Human Actions
We propose the task of forecasting characteristic 3D poses: from a singl...
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07/26/2020
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve
Object recognition has seen significant progress in the image domain, wi...
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06/25/2020
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans
We present SPSG, a novel approach to generate high-quality, colored 3D m...
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06/23/2020
Neural Non-Rigid Tracking
We introduce a novel, end-to-end learnable, differentiable non-rigid tra...
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03/27/2020
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans
We present a novel approach to reconstructing lightweight, CAD-based rep...
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03/18/2020
Adversarial Texture Optimization from RGB-D Scans
Realistic color texture generation is an important step in RGB-D surface...
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11/29/2019
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans
We present a novel approach that converts partial and noisy RGB-D scans ...
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08/19/2019
Joint Embedding of 3D Scan and CAD Objects
3D scan geometry and CAD models often contain complementary information ...
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06/10/2019
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans
We present a novel, end-to-end approach to align CAD models to an 3D sca...
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04/26/2019
3D-SIC: 3D Semantic Instance Completion for RGB-D Scans
This paper focuses on the task of semantic instance completion: from an ...
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12/17/2018
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
We introduce 3D-SIS, a novel neural network architecture for 3D semantic...
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11/27/2018
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans
We present Scan2CAD, a novel data-driven method that learns to align cle...
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11/26/2018
Scan2Mesh: From Unstructured Range Scans to 3D Meshes
We introduce Scan2Mesh, a novel data-driven generative approach which tr...
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03/28/2018
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
We present 3DMV, a novel method for 3D semantic scene segmentation of RG...
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12/29/2017
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
We introduce ScanComplete, a novel data-driven approach for taking an in...
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09/18/2017
Matterport3D: Learning from RGB-D Data in Indoor Environments
Access to large, diverse RGB-D datasets is critical for training RGB-D s...
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01/13/2017
LayerBuilder: Layer Decomposition for Interactive Image and Video Color Editing
Exploring and editing colors in images is a common task in graphic desig...
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12/01/2016
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis
We introduce a data-driven approach to complete partial 3D shapes throug...
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04/12/2016
Volumetric and Multi-View CNNs for Object Classification on 3D Data
3D shape models are becoming widely available and easier to capture, mak...
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04/05/2016