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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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Towards Part-Based Understanding of RGB-D Scans
Recent advances in 3D semantic scene understanding have shown impressive...
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Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction
We introduce Neural Deformation Graphs for globally-consistent deformati...
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Forecasting Characteristic 3D Poses of Human Actions
We propose the task of forecasting characteristic 3D poses: from a singl...
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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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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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Neural Non-Rigid Tracking
We introduce a novel, end-to-end learnable, differentiable non-rigid tra...
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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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Adversarial Texture Optimization from RGB-D Scans
Realistic color texture generation is an important step in RGB-D surface...
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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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Joint Embedding of 3D Scan and CAD Objects
3D scan geometry and CAD models often contain complementary information ...
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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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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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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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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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Scan2Mesh: From Unstructured Range Scans to 3D Meshes
We introduce Scan2Mesh, a novel data-driven generative approach which tr...
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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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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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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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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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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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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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BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration
Real-time, high-quality, 3D scanning of large-scale scenes is key to mix...
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Learning to Navigate the Energy Landscape
In this paper, we present a novel and efficient architecture for address...
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