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02/01/2023
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation
This paper presents a new approach for 3D shape generation, inversion, a...
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09/19/2022
Neural Wavelet-domain Diffusion for 3D Shape Generation
This paper presents a new approach for 3D shape generation, enabling dir...
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09/09/2022
ISS: Image as Stetting Stone for Text-Guided 3D Shape Generation
Text-guided 3D shape generation remains challenging due to the absence o...
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06/10/2022
Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes
This paper introduces a novel framework called DTNet for 3D mesh reconst...
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02/28/2022
Point Set Self-Embedding
This work presents an innovative method for point set self-embedding, th...
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09/20/2021
PC2-PU: Patch Correlation and Position Correction for Effective Point Cloud Upsampling
Point cloud upsampling is to densify a sparse point set acquired from 3D...
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08/10/2021
SP-GAN: Sphere-Guided 3D Shape Generation and Manipulation
We present SP-GAN, a new unsupervised sphere-guided generative model for...
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06/09/2021
Point Cloud Upsampling via Disentangled Refinement
Point clouds produced by 3D scanning are often sparse, non-uniform, and ...
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06/28/2020
DNF-Net: a Deep Normal Filtering Network for Mesh Denoising
This paper presents a deep normal filtering network, called DNF-Net, for...
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03/16/2020
A Rotation-Invariant Framework for Deep Point Cloud Analysis
Recently, many deep neural networks were designed to process 3D point cl...
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03/14/2020
Non-Local Part-Aware Point Cloud Denoising
This paper presents a novel non-local part-aware deep neural network to ...
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02/25/2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
We present PointAugment, a new auto-augmentation framework that automati...
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07/25/2019
