b'Haibin Huang'

research

∙ 01/15/2023

LitAR: Visually Coherent Lighting for Mobile Augmented Reality

An accurate understanding of omnidirectional environment lighting is cru...

Yiqin Zhao, et al. ∙

research

∙ 11/23/2022

Inversion-Based Creativity Transfer with Diffusion Models

In this paper, we introduce the task of "Creativity Transfer". The artis...

Yuxin Zhang, et al. ∙

research

∙ 11/19/2022

DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization

Despite the impressive results of arbitrary image-guided style transfer ...

Nisha Huang, et al. ∙

research

∙ 05/19/2022

Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning

In this work, we tackle the challenging problem of arbitrary image style...

Yuxin Zhang, et al. ∙

research

∙ 02/17/2022

Point cloud completion on structured feature map with feedback network

In this paper, we tackle the challenging problem of point cloud completi...

Zejia Su, et al. ∙

research

∙ 02/15/2022

Deep Constrained Least Squares for Blind Image Super-Resolution

In this paper, we tackle the problem of blind image super-resolution(SR)...

Ziwei Luo, et al. ∙

research

∙ 12/05/2021

Implicit Neural Deformation for Multi-View Face Reconstruction

In this work, we present a new method for 3D face reconstruction from mu...

Moran Li, et al. ∙

research

∙ 09/30/2021

iShape: A First Step Towards Irregular Shape Instance Segmentation

In this paper, we introduce a brand new dataset to promote the study of ...

Lei Yang, et al. ∙

research

∙ 08/30/2021

Scene Synthesis via Uncertainty-Driven Attribute Synchronization

Developing deep neural networks to generate 3D scenes is a fundamental p...

Haitao Yang, et al. ∙

research

∙ 07/09/2021

Beyond Farthest Point Sampling in Point-Wise Analysis

Sampling, grouping, and aggregation are three important components in th...

Yiqun Lin, et al. ∙

research

∙ 05/22/2021

HPNet: Deep Primitive Segmentation Using Hybrid Representations

This paper introduces HPNet, a novel deep-learning approach for segmenti...

Siming Yan, et al. ∙

research

∙ 03/26/2021

D2C-SR: A Divergence to Convergence Approach for Image Super-Resolution

In this paper, we present D2C-SR, a novel framework for the task of imag...

Youwei Li, et al. ∙

research

∙ 12/30/2020

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

In this paper, we introduce NBNet, a novel framework for image denoising...

Shen Cheng, et al. ∙

research

∙ 10/14/2020

Practical Deep Raw Image Denoising on Mobile Devices

Deep learning-based image denoising approaches have been extensively stu...

Yuzhi Wang, et al. ∙

research

∙ 09/17/2020

Arbitrary Video Style Transfer via Multi-Channel Correlation

Video style transfer is getting more attention in AI community for its n...

Yingying Deng, et al. ∙

research

∙ 02/25/2020

FPConv: Learning Local Flattening for Point Convolution

We introduce FPConv, a novel surface-style convolution operator designed...

Yiqun Lin, et al. ∙

research

∙ 12/06/2019

LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning

We describe a policy learning approach to map visual inputs to driving c...

Albert Zhao, et al. ∙

research

∙ 11/11/2019

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation

In this work, we present a novel data-driven method for robust 6DoF obje...

Yisheng He, et al. ∙

research

∙ 09/10/2019

Disentangled Image Matting

Most previous image matting methods require a roughly-specificed trimap ...

Shaofan Cai, et al. ∙

research

∙ 08/06/2019

Semi-supervised Skin Detection by Network with Mutual Guidance

In this paper we present a new data-driven method for robust skin detect...

Yi He, et al. ∙

research

∙ 05/08/2019

Frame-Recurrent Video Inpainting by Robust Optical Flow Inference

In this paper, we present a new inpainting framework for recovering miss...

Yifan Ding, et al. ∙

research

∙ 04/29/2019

Learning Raw Image Denoising with Bayer Pattern Unification and Bayer Preserving Augmentation

In this paper, we present new data pre-processing and augmentation techn...

Jiaming Liu, et al. ∙

research

∙ 04/06/2019

When AWGN-based Denoiser Meets Real Noises

Discriminative learning based image denoisers have achieved promising pe...

Yuqian Zhou, et al. ∙

research

∙ 01/09/2019

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

Graphics Interchange Format (GIF) is a highly portable graphics format t...

Yang Wang, et al. ∙

research

∙ 01/03/2019

GeoNet: Deep Geodesic Networks for Point Cloud Analysis

Surface-based geodesic topology provides strong cues for object semantic...

Tong He, et al. ∙

research

∙ 09/19/2018

Deep Part Induction from Articulated Object Pairs

Object functionality is often expressed through part articulation -- as ...

Li Yi, et al. ∙

research

∙ 06/22/2018

Video Inpainting by Jointly Learning Temporal Structure and Spatial Details

We present a new data-driven video inpainting method for recovering miss...

Chuan Wang, et al. ∙

research

∙ 10/17/2017

Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

We introduce a large-scale 3D shape understanding benchmark using data a...

Li Yi, et al. ∙

research

∙ 09/22/2017

High-Resolution Shape Completion Using Deep Neural Networks for Global Structure and Local Geometry Inference

We propose a data-driven method for recovering miss-ing parts of 3D shap...

Xiaoguang Han, et al. ∙

research

∙ 06/14/2017

Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks

We present a new local descriptor for 3D shapes, directly applicable to ...

Haibin Huang, et al. ∙

Haibin Huang

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