Angela Dai

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Google ∙ Technische Universität München ∙ Stanford University

Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve

Object recognition has seen significant progress in the image domain, wi...
07/26/2020 ∙ by Weicheng Kuo, et al. ∙ 0 ∙ share

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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...
06/25/2020 ∙ by Angela Dai, et al. ∙ 10 ∙ share

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Neural Non-Rigid Tracking

We introduce a novel, end-to-end learnable, differentiable non-rigid tra...
06/23/2020 ∙ by Aljaž Božič, et al. ∙ 0 ∙ share

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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...
03/27/2020 ∙ by Armen Avetisyan, et al. ∙ 6 ∙ share

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Adversarial Texture Optimization from RGB-D Scans

Realistic color texture generation is an important step in RGB-D surface...
03/18/2020 ∙ by Jingwei Huang, et al. ∙ 7 ∙ share

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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 ...
11/29/2019 ∙ by Angela Dai, et al. ∙ 20 ∙ share

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Joint Embedding of 3D Scan and CAD Objects

3D scan geometry and CAD models often contain complementary information ...
08/19/2019 ∙ by Manuel Dahnert, et al. ∙ 3 ∙ share

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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...
06/10/2019 ∙ by Armen Avetisyan, et al. ∙ 3 ∙ share

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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 ...
04/26/2019 ∙ by Ji Hou, et al. ∙ 6 ∙ share

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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...
12/17/2018 ∙ by Ji Hou, et al. ∙ 18 ∙ share

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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...
11/27/2018 ∙ by Armen Avetisyan, et al. ∙ 8 ∙ share

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Scan2Mesh: From Unstructured Range Scans to 3D Meshes

We introduce Scan2Mesh, a novel data-driven generative approach which tr...
11/26/2018 ∙ by Angela Dai, et al. ∙ 10 ∙ share

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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...
03/28/2018 ∙ by Angela Dai, et al. ∙ 0 ∙ share

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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...
12/29/2017 ∙ by Angela Dai, et al. ∙ 0 ∙ share

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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...
09/18/2017 ∙ by Angel Chang, et al. ∙ 0 ∙ share

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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...
01/13/2017 ∙ by Sharon Lin, et al. ∙ 0 ∙ share

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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...
12/01/2016 ∙ by Angela Dai, et al. ∙ 0 ∙ share

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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...
04/12/2016 ∙ by Charles R. Qi, et al. ∙ 0 ∙ share

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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...
04/05/2016 ∙ by Angela Dai, et al. ∙ 0 ∙ share

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Learning to Navigate the Energy Landscape

In this paper, we present a novel and efficient architecture for address...
03/18/2016 ∙ by Julien Valentin, et al. ∙ 0 ∙ share

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Angela Dai

Featured Co-authors

Christian Theobalt

Pushmeet Kohli

Hao Su

Matthias Nießner

Leonidas Guibas

Leonidas J. Guibas

Thomas Funkhouser

Anelia Angelova

Michael Zollhöfer

Shuran Song

Yinda Zhang

Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve

SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans

Neural Non-Rigid Tracking

SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans

Adversarial Texture Optimization from RGB-D Scans

SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans

Joint Embedding of 3D Scan and CAD Objects

End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans

3D-SIC: 3D Semantic Instance Completion for RGB-D Scans

3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Scan2Mesh: From Unstructured Range Scans to 3D Meshes

3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

Matterport3D: Learning from RGB-D Data in Indoor Environments

LayerBuilder: Layer Decomposition for Interactive Image and Video Color Editing

Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis

Volumetric and Multi-View CNNs for Object Classification on 3D Data

BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration

Learning to Navigate the Energy Landscape