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07/16/2023
FourierHandFlow: Neural 4D Hand Representation Using Fourier Query Flow
Recent 4D shape representations model continuous temporal evolution of i...
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06/08/2023
SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions
The remarkable capabilities of pretrained image diffusion models have be...
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04/10/2023
Split, Merge, and Refine: Fitting Tight Bounding Boxes via Learned Over-Segmentation and Iterative Search
We present a novel framework for finding a set of tight bounding boxes o...
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02/28/2023
Im2Hands: Learning Attentive Implicit Representation of Interacting Two-Hand Shapes
We present Implicit Two Hands (Im2Hands), the first neural implicit repr...
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12/09/2022
LADIS: Language Disentanglement for 3D Shape Editing
Natural language interaction is a promising direction for democratizing ...
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11/01/2022
Seg Struct: The Interplay Between Part Segmentation and Structure Inference for 3D Shape Parsing
We propose Seg Struct, a supervised learning framework leveraging the ...
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03/29/2022
Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian
We propose a framework that can deform an object in a 2D image as it exi...
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03/12/2022
3D-GIF: 3D-Controllable Object Generation via Implicit Factorized Representations
While NeRF-based 3D-aware image generation methods enable viewpoint cont...
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03/12/2022
Implicit LiDAR Network: LiDAR Super-Resolution via Interpolation Weight Prediction
Super-resolution of LiDAR range images is crucial to improving many down...
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12/17/2021
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders
We propose Point2Cyl, a supervised network transforming a raw 3D point c...
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12/13/2021
PartGlot: Learning Shape Part Segmentation from Language Reference Games
We introduce PartGlot, a neural framework and associated architectures f...
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12/01/2021
The Shape Part Slot Machine: Contact-based Reasoning for Generating 3D Shapes from Parts
We present the Shape Part Slot Machine, a new method for assembling nove...
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09/06/2021
CTRL-C: Camera calibration TRansformer with Line-Classification
Single image camera calibration is the task of estimating the camera par...
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08/31/2021
CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds
Representing human-made objects as a collection of base primitives has a...
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02/18/2021
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes with Biharmonic Coordinates
We propose DeepMetaHandles, a 3D conditional generative model based on m...
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01/19/2021
Joint Learning of 3D Shape Retrieval and Deformation
We propose a novel technique for producing high-quality 3D models that m...
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09/03/2020
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces
Shape deformation is an important component in any geometry processing t...
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08/18/2020
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images
We investigate the problem of learning to generate 3D parametric surface...
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07/23/2020
Neural Geometric Parser for Single Image Camera Calibration
We propose a neural geometric parser learning single image camera calibr...
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04/02/2020
Deformation-Aware 3D Model Embedding and Retrieval
We introduce a new problem of retrieving 3D models that are deformable t...
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03/21/2020
Learning 3D Part Assembly from a Single Image
Autonomous assembly is a crucial capability for robots in many applicati...
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12/08/2018
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
We introduce a novel 3D object proposal approach named Generative Shape ...
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11/22/2018
Supervised Fitting of Geometric Primitives to 3D Point Clouds
Fitting geometric primitives to 3D point cloud data bridges a gap betwee...
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07/04/2018
Learning Fuzzy Set Representations of Partial Shapes on Dual Embedding Spaces
Modeling relations between components of 3D objects is essential for man...
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05/25/2018
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions
Various 3D semantic attributes such as segmentation masks, geometric fea...
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08/06/2017