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07/21/2023
Divide and Adapt: Active Domain Adaptation via Customized Learning
Active domain adaptation (ADA) aims to improve the model adaptation perf...
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03/29/2023
NerVE: Neural Volumetric Edges for Parametric Curve Extraction from Point Cloud
Extracting parametric edge curves from point clouds is a fundamental pro...
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02/02/2023
Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors
Fast generation of high-quality 3D digital humans is important to a vast...
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11/12/2022
Divide and Contrast: Source-free Domain Adaptation via Adaptive Contrastive Learning
We investigate a practical domain adaptation task, called source-free do...
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05/07/2022
Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution
Due to the sophisticated imaging process, an identical scene captured by...
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04/04/2022
Exemplar-bsaed Pattern Synthesis with Implicit Periodic Field Network
Synthesis of ergodic, stationary visual patterns is widely applicable in...
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08/12/2021
Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning
Open-set semi-supervised learning (open-set SSL) investigates a challeng...
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03/25/2021
Equivariant Point Network for 3D Point Cloud Analysis
Features that are equivariant to a larger group of symmetries have been ...
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03/15/2021
3DCaricShop: A Dataset and A Baseline Method for Single-view 3D Caricature Face Reconstruction
Caricature is an artistic representation that deliberately exaggerates t...
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12/14/2020
Deep Optimized Priors for 3D Shape Modeling and Reconstruction
Many learning-based approaches have difficulty scaling to unseen data, a...
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04/15/2020
Intuitive, Interactive Beard and Hair Synthesis with Generative Models
We present an interactive approach to synthesizing realistic variations ...
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03/28/2020
Deep Fashion3D: A Dataset and Benchmark for 3D Garment Reconstruction from Single Images
High-fidelity clothing reconstruction is the key to achieving photoreali...
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11/02/2019
Learning to Infer Implicit Surfaces without 3D Supervision
Recent advances in 3D deep learning have shown that it is possible to tr...
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09/01/2019
Deep Mesh Reconstruction from Single RGB Images via Topology Modification Networks
Reconstructing the 3D mesh of a general object from a single image is no...
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05/18/2019
Learning Perspective Undistortion of Portraits
Near-range portrait photographs often contain perspective distortion art...
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04/03/2019
Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning
Rendering bridges the gap between 2D vision and 3D scenes by simulating ...
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01/17/2019
Soft Rasterizer: Differentiable Rendering for Unsupervised Single-View Mesh Reconstruction
Rendering is the process of generating 2D images from 3D assets, simulat...
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12/31/2018
SiCloPe: Silhouette-Based Clothed People
We introduce a new silhouette-based representation for modeling clothed ...
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12/11/2018
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions
Three-dimensional object recognition has recently achieved great progres...
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07/23/2018
Identity Preserving Face Completion for Large Ocular Region Occlusion
We present a novel deep learning approach to synthesize complete face im...
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06/19/2018
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks
We introduce a deep learning-based method to generate full 3D hair geome...
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06/19/2018