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03/31/2023
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization
We propose VDN-NeRF, a method to train neural radiance fields (NeRFs) fo...
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12/29/2022
OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization
Patients take care of what their teeth will be like after the orthodonti...
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05/09/2022
NeuralHDHair: Automatic High-fidelity Hair Modeling from a Single Image Using Implicit Neural Representations
Undoubtedly, high-fidelity 3D hair plays an indispensable role in digita...
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03/20/2022
NeuralReshaper: Single-image Human-body Retouching with Deep Neural Networks
In this paper, we present NeuralReshaper, a novel method for semantic re...
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03/11/2022
AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications
A critical step in virtual dental treatment planning is to accurately de...
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12/21/2021
Can We Use Neural Regularization to Solve Depth Super-Resolution?
Depth maps captured with commodity sensors often require super-resolutio...
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09/16/2021
SketchHairSalon: Deep Sketch-based Hair Image Synthesis
Recent deep generative models allow real-time generation of hair images ...
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08/11/2021
GCN-Denoiser: Mesh Denoising with Graph Convolutional Networks
In this paper, we present GCN-Denoiser, a novel feature-preserving mesh ...
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07/27/2021
DCL: Differential Contrastive Learning for Geometry-Aware Depth Synthesis
We describe a method for realistic depth synthesis that learns diverse v...
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05/27/2020
AutoSweep: Recovering 3D Editable Objectsfrom a Single Photograph
This paper presents a fully automatic framework for extracting editable ...
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03/02/2020
SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
We introduce SketchGCN, a graph convolutional neural network for semanti...
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01/16/2020
SketchDesc: Learning Local Sketch Descriptors for Multi-view Correspondence
In this paper, we study the problem of multi-view sketch correspondence,...
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12/13/2019
Latent-Space Laplacian Pyramids for Adversarial Representation Learning with 3D Point Clouds
Constructing high-quality generative models for 3D shapes is a fundament...
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08/20/2019
DeepSketchHair: Deep Sketch-based 3D Hair Modeling
We present sketchhair, a deep learning based tool for interactive modeli...
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11/20/2018
Sketch-R2CNN: An Attentive Network for Vector Sketch Recognition
Freehand sketching is a dynamic process where points are sequentially sa...
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11/15/2018
Hair-GANs: Recovering 3D Hair Structure from a Single Image
We introduce Hair-GANs, an architecture of generative adversarial networ...
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01/25/2017
Recovering 3D Planar Arrangements from Videos
Acquiring 3D geometry of real world objects has various applications in ...
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02/21/2014