b'Angela Dai'

research

∙ 04/12/2023

Mesh2Tex: Generating Mesh Textures from Image Queries

Remarkable advances have been achieved recently in learning neural repre...

0 Alexey Bokhovkin, et al. ∙

research

∙ 03/29/2023

HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion

Implicit neural fields, typically encoded by a multilayer perceptron (ML...

0 Ziya Erkoç, et al. ∙

research

∙ 03/25/2023

UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes

3D instance segmentation is fundamental to geometric understanding of th...

1 David Rozenberszki, et al. ∙

research

∙ 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...

0 Jiapeng Tang, et al. ∙

research

∙ 02/28/2023

Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors

Current popular backbones in computer vision, such as Vision Transformer...

0 Ji Hou, et al. ∙

research

∙ 12/19/2022

Panoptic Lifting for 3D Scene Understanding with Neural Fields

We propose Panoptic Lifting, a novel approach for learning panoptic 3D v...

0 Yawar Siddiqui, et al. ∙

research

∙ 12/05/2022

ObjectMatch: Robust Registration using Canonical Object Correspondences

We present ObjectMatch, a semantic and object-centric camera pose estima...

0 Can Gümeli, et al. ∙

research

∙ 12/02/2022

ClipFace: Text-guided Editing of Textured 3D Morphable Models

We propose ClipFace, a novel self-supervised approach for text-guided ed...

0 Shivangi Aneja, et al. ∙

research

∙ 11/25/2022

Forecasting Actions and Characteristic 3D Poses

We propose to model longer-term future human behavior by jointly predict...

0 Christian Diller, et al. ∙

research

∙ 11/25/2022

Neural Poisson: Indicator Functions for Neural Fields

Implicit neural field generating signed distance field representations (...

0 Angela Dai, et al. ∙

research

∙ 11/25/2022

Learning 3D Scene Priors with 2D Supervision

Holistic 3D scene understanding entails estimation of both layout config...

0 Yinyu Nie, et al. ∙

research

∙ 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 ...

5 Yuchen Rao, et al. ∙

research

∙ 04/16/2022

Language-Grounded Indoor 3D Semantic Segmentation in the Wild

Recent advances in 3D semantic segmentation with deep neural networks ha...

20 David Rozenberszki, et al. ∙

research

∙ 04/05/2022

Texturify: Generating Textures on 3D Shape Surfaces

Texture cues on 3D objects are key to compelling visual representations,...

0 Yawar Siddiqui, et al. ∙

research

∙ 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...

0 tim-beyer, et al. ∙

research

∙ 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...

0 Alexey Bokhovkin, et al. ∙

research

∙ 01/20/2022

SPAMs: Structured Implicit Parametric Models

Parametric 3D models have formed a fundamental role in modeling deformab...

0 Pablo Palafox, et al. ∙

research

∙ 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...

4 Yujin Chen, et al. ∙

research

∙ 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...

0 Can Gümeli, et al. ∙

research

∙ 12/01/2021

Pose2Room: Understanding 3D Scenes from Human Activities

With wearable IMU sensors, one can estimate human poses from wearable de...

0 Yinyu Nie, et al. ∙

research

∙ 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...

0 Manuel Dahnert, et al. ∙

research

∙ 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...

11 Weicheng Kuo, et al. ∙

research

∙ 07/05/2021

TransformerFusion: Monocular RGB Scene Reconstruction using Transformers

We introduce TransformerFusion, a transformer-based 3D scene reconstruct...

19 Aljaž Božič, et al. ∙

research

∙ 04/22/2021

Pri3D: Can 3D Priors Help 2D Representation Learning?

Recent advances in 3D perception have shown impressive progress in under...

8 Ji Hou, et al. ∙

research

∙ 04/01/2021

NPMs: Neural Parametric Models for 3D Deformable Shapes

Parametric 3D models have enabled a wide variety of tasks in computer gr...

0 Pablo Palafox, et al. ∙

research

∙ 03/31/2021

RetrievalFuse: Neural 3D Scene Reconstruction with a Database

3D reconstruction of large scenes is a challenging problem due to the hi...

0 Yawar Siddiqui, et al. ∙

research

∙ 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...

0 Norman Müller, et al. ∙

research

∙ 12/03/2020

Towards Part-Based Understanding of RGB-D Scans

Recent advances in 3D semantic scene understanding have shown impressive...

0 Alexey Bokhovkin, et al. ∙

research

∙ 12/02/2020

Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction

We introduce Neural Deformation Graphs for globally-consistent deformati...

0 Aljaž Božič, et al. ∙

research

∙ 11/30/2020

Forecasting Characteristic 3D Poses of Human Actions

We propose the task of forecasting characteristic 3D poses: from a singl...

0 Christian Diller, et al. ∙

research

∙ 07/26/2020

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

Object recognition has seen significant progress in the image domain, wi...

0 Weicheng Kuo, et al. ∙

research

∙ 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...

10 Angela Dai, et al. ∙

research

∙ 06/23/2020

Neural Non-Rigid Tracking

We introduce a novel, end-to-end learnable, differentiable non-rigid tra...

0 Aljaž Božič, et al. ∙

research

∙ 03/27/2020

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

We present a novel approach to reconstructing lightweight, CAD-based rep...

6 Armen Avetisyan, et al. ∙

research

∙ 03/18/2020

Adversarial Texture Optimization from RGB-D Scans

Realistic color texture generation is an important step in RGB-D surface...

7 Jingwei Huang, et al. ∙

research

∙ 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 ...

20 Angela Dai, et al. ∙

research

∙ 08/19/2019

Joint Embedding of 3D Scan and CAD Objects

3D scan geometry and CAD models often contain complementary information ...

3 Manuel Dahnert, et al. ∙

research

∙ 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...

3 Armen Avetisyan, et al. ∙

research

∙ 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 ...

6 Ji Hou, et al. ∙

research

∙ 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...

18 Ji Hou, et al. ∙

research

∙ 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...

8 Armen Avetisyan, et al. ∙

research

∙ 11/26/2018

Scan2Mesh: From Unstructured Range Scans to 3D Meshes

We introduce Scan2Mesh, a novel data-driven generative approach which tr...

10 Angela Dai, et al. ∙

research

∙ 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...

0 Angela Dai, et al. ∙

research

∙ 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...

0 Angela Dai, et al. ∙

research

∙ 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...

0 Angel Chang, et al. ∙

research

∙ 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...

0 Sharon Lin, et al. ∙

research

∙ 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...

0 Angela Dai, et al. ∙

research

∙ 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...

0 Charles R. Qi, et al. ∙

research

∙ 04/05/2016

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...

0 Angela Dai, et al. ∙

research

∙ 03/18/2016

Learning to Navigate the Energy Landscape

In this paper, we present a novel and efficient architecture for address...

0 Julien Valentin, et al. ∙

Angela Dai

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