Haibin Huang

DeTeCtive: Detecting AI-generated Text via Multi-Level Contrastive Learning

Xun Guo, Yongxin He, Shan Zhang, Ting Zhang, Wanquan Feng, Haibin Huang, Chongyang Ma

NeurIPS 2024

[ Project page ] [ Paper ] [ Code ]

You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection

Mingbo Hong, Shen Cheng, Haibin Huang, Haoqiang Fan, Shuaicheng Liu

NeurIPS 2024

[ Project page ] [ Paper ] [ Code ]

Towards Unified 3D Hair Reconstruction from Single-View Portraits

Yujian Zheng, Yuda Qiu, Leyang Jin, Chongyang Ma, Haibin Huang, Di Zhang, Pengfei Wang, Xiaoguang Han

SIGGRAPHASIA 2024

[ Project page ] [ Paper ] [ Code ]

InterFusion: Text-Driven Generation of 3D Human-Object Interaction

Sisi Dai, Wenhao Li, Haowen Sun, Haibin Huang, Chongyang Ma, Hui Huang, Kai Xu, Ruizhen Hu

ECCV 2024

[ Project page ] [ Paper ] [ Code ]

Direct-a-Video: Customized Video Generation with User-Directed Camera Movement and Object Motion

Shiyuan Yang, Liang Hou, Haibin Huang, Chongyang Ma, Pengfei Wan, Di Zhang, Xiaodong Chen, Jing Liao

SIGGRAPH 2024 (Conference)

[ Project page ] [ Paper ] [ Code ]

I2V-Adapter: A General Image-to-Video Adapter for Diffusion Models

Xun Guo, Mingwu Zheng, Liang Hou, Yuan Gao, Yufan Deng, Pengfei Wan, Di Zhang, Yufan Liu, Weiming Hu, Zhengjun Zha, Haibin Huang, Chongyang Ma

SIGGRAPH 2024 (Conference)

[ Project page ] [ Paper ] [ Code ]

Spatial and Surface Correspondence Field for Interaction Transfer

Zeyu Huang, Honghao Xu, Haibin Huang, Chongyang Ma, Hui Huang, Ruizhen Hu

SIGGRAPH 2024

[ Project page ] [ Paper ] [ Code ]

VRMM: A Volumetric Relightable Morphable Head Model

Haotian Yang, Mingwu Zheng, Chongyang Ma, Yu-Kun Lai, Pengfei Wan, Haibin Huang

SIGGRAPH 2024 (Conference)

[ Project page ] [ Paper ] [ Code ]

LGTM: Local-to-Global Text-Driven Human Motion Diffusion Model

Haowen Sun, Ruikun Zheng, Haibin Huang, Chongyang Ma, Hui Huang, Ruizhen Hu

SIGGRAPH 2024 (Conference)

[ Project page ] [ Paper ] [ Code ]

DiffStyler: Controllable Dual Diffusion for Text-Driven Image Stylization

Nisha Huang, Yuxin Zhang, Fan Tang, Chongyang Ma, Haibin Huang, Yong Zhang, Weiming Dong, Changsheng Xu

TNNLS 2024

[ Project page ] [ Paper ] [ Code ]

FreeStyler: A Free-Form Stylization Method via Multimodal Vector Quantization

Wuqin Liu, Minxuan Lin, Haibin Huang, Chongyang Ma, Weiming Dong

CVM 2024

[ Project page ] [ Paper ] [ Code ]

Multi-Modal Face Stylization with a Generative Prior

Mengtian Li, Yi Dong, Minxuan Lin, Haibin Huang, Pengfei Wan, Chongyang Ma

PG 2023

[ Project page ] [ Paper ] [ Code ]

ProSpect: Prompt Spectrum of Staged Diffusion Models for Visual Attribute-aware Image Generation

Yuxin Zhang, Weiming Dong, Fan Tang, Nisha Huang, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Oliver Deussen, Changsheng Xu

SIGGRAPHASIA 2023

[ Project page ] [ Paper ]

Towards Practical Capture of High-Fidelity Relightable Avatars

Haotian Yang, Mingwu Zheng, Wanquan Feng, Haibin Huang, Yu-Kun Lai, Pengfei Wan, Zhongyuan Wang, Chongyang Ma

SIGGRAPHASIA 2023 (Conference)

[ Project page ] [ Paper ]

Explicit Motion Disentangling for Efficient Optical Flow Estimation

Changxing Deng, Ao Luo, Haibin Huang, Shaodan Ma, Jiangyu Liu,Shuaicheng Liu

ICCV 2023

[ Project page ] [ Paper ]

3D Keypoint Estimation using Implicit Representation Learning

Xiangyu Zhu, Dong Du, Haibin Huang, Chongyang Ma, Xiaoguang Han

SGP 2023

[ Project page ] [ Paper ]

A Unified Arbitrary Style Transfer Framework via Adaptive Contrastive Learning

Yuxin Zhang, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Changsheng Xu

TOG 2023

[ Project page ] [ Paper ]

HairStep: Transfer Synthetic to Real Using Strand and Depth Maps for Single-View 3D Hair Modeling

Yujian Zheng, Zirong Jin, Moran Li, Haibin Huang, Chongyang Ma, Shuguang Cui, Xiaoguang Han

CVPR 2023 (Highlight)

[ Project page ] [ Paper ]

Semi-Weakly Supervised Object Kinematic Motion Prediction

Gengxin Liu, Qian Sun, Haibin Huang, Chongyang Ma, Yulan Guo, Li Yi, Hui Huang, Ruizhen Hu

CVPR 2023

[ Project page ] [ Paper ]

Inversion-Based Style Transfer with Diffusion Models

Yuxin Zhang, Nisha Huang, Fan Tang, Haibin Huang, Chongyang Ma, Weiming Dong, Changsheng Xu

CVPR 2023

[ Project page ] [ Paper ]

Self-Supervised Category-Level Articulated Object Pose Estimation with Part-Level SE(3) Equivariance

Xueyi Liu, Ji Zhang, Ruizhen Hu, Haibin Huang, He Wang, Li Yi

ICLR 2023

[ Project page ] [ Paper ]

Emotion-Aware Music Driven Movie Montage

Wuqin Liu, Minxuan Lin, Haibin Huang, Chongyang Ma,Yu Song, Weiming Dong, Changsheng Xu

CVM 2023

[ Project page ] [ Paper ]

Implicit Neural Deformation for Multi-View Face Reconstruction

Moran Li, Haibin Huang, Yi Zheng, Mengtian Li, Nong Sang, Chongyang Ma

PG 2022

[ Project page ] [ Paper ]

LitAR: Visually Coherent Lighting for Mobile Augmented Reality

Yiqin Zhao, Chongyang Ma, Haibin Huang, Tian Guo

IMWUT

[ Project page ] [ Paper ]

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

Youwei Li, Haibin Huang, Lanpeng Jia, Haoqiang Fan, Shuaicheng Liu

ECCV 2022

[ Project page ] [ Paper ]

Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning

Yuxin Zhang, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Tong-Yee Lee, Changsheng Xu

SIGGRAPH 2022 (Conference)

[ Project page ] [ Paper ]

Deep Constrained Least Squares for Blind Image Super-Resolution

Ziwei Luo, Haibin Huang, Lei Yu, Youwei Li, Haoqiang Fan, Shuaicheng Liu

CVPR 2022

[ Project page ] [ Paper ]

Task-Aware Sampling Layer for Point-Wise Analysis

Yiqun Lin, Lichang Chen, Haibin Huang, Chongyang Ma, Xiaoguang Han, Shuguang Cui

TVCG 2022

[ Project page ] [ Paper ]

Point cloud completion on structured feature map with feedback network

Zejia Su, Haibin Huang, Chongyang Ma, Hui Huang, Ruizhen Hu

CVMJ 2022

[ Project page ] [ Paper ]

UprightRL: Upright Orientation Estimation of 3D Shapes via Reinforcement Learning

Luanmin Chen, Juzhan Xu, Chuan Wang, Haibin Huang, Hui Huang, Ruizhen Hu

PG 2021

[ Project page ] [ Paper ]

HPNet: Deep Primitive Segmentation Using Hybrid Representations

Siming Yan, Zhenpei Yang, Chongyang Ma, Haibin Huang, Etienne Vouga, Qixing Huang

ICCV 2021

[ Project page ] [ Paper ]

Scene Synthesis via Uncertainty-Driven Attribute Synchronization

Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, Qixing Huang

ICCV 2021

[ Project page ] [ Paper ]

FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation

Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, Jian Sun

CVPR 2021 (Oral presentation)

[ Project page ] [ Paper ]

NBNet: Noise Basis Learning for Image Denoising with Subspace Projection

Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu

CVPR 2021

[ Project page ] [ Paper ]

Arbitrary Video Style Transfer via Multi-Channel Correlation

Yingying Deng, Fan Tang, Weiming Dong, Haibin Huang, Chongyang Ma, Changsheng Xu

AAAI 2021

[ Project page ] [ Paper ]

SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning

Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto

CORL 2020

[ Project page ] [ Paper ]

Practical Deep Raw Image Denoising on Mobile Devices

Yuzhi Wang, Haibin Huang, Qin Xu, Jiaming Liu, Yiqun Liu, Jue Wang

ECCV 2020 (Spotlight presentation)

[ Project page ] [ Paper ]

FPConv: Learning Local Flattening for Point Convolution

Yiqun Lin, Zizheng Yan, Haibin Huang, Dong Du, Ligang Liu, Shuguang Cui, Xiaoguang Han

CVPR 2020

[ Project page ] [ Paper ]

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

Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan, Jian Sun

CVPR 2020

[ Project page ] [ Paper ]

When AWGN-based Denoiser Meets Real Noises

Yuqian Zhou, Jianbo Jiao, Haibin Huang, Yang Wang, Jue Wang, Honghui Shi, Thomas Huang

AAAI 2020

[ Project page ] [ Paper ]

Disentangled Image Matting

Shaofan Cai, Xiaoshuai Zhang, Haoqiang Fan, Haibin Huang, Jiangyu Liu, Jiaming Liu, Jiaying Liu, Jue Wang, Jian Sun

ICCV 2019

[ Project page ] [ Paper ]

Semi-supervised Skin Detection by Network with Mutual Guidance

Yi He*, Jiayuan Shi*, Chuan Wang, Haibin Huang, Jiaming Liu, Guanbin Li, Risheng Liu, Jue Wang

ICCV 2019

[ Project page ] [ Paper ]

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

Jiaming Liu, Chi-Hao Wu, Yuzhi Wang, Qin Xu, Yuqian Zhou, Haibin Huang, Chuan Wang, Shaofan Cai, Yifan Ding, Haoqiang Fan, Jue Wang

CVPRW(NTIRE 2019)

[ Project page ] [ Paper ]

GIF2Video: Color Dequantization and Temporal Interpolation of GIF images

Yang Wang, Haibin Huang, Chuan Wang, Tong He, Jue Wang, Minh Hoai

CVPR 2019

[ Project page ] [ Paper ]

GeoNet: Deep Geodesic Networks for Point Cloud Analysis

Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto

CVPR 2019 (Oral presentation)

[ Project page ] [ Paper ]

Video Inpainting by Jointly Learning Temporal Structure and Spatial Details

Chuan Wang, Haibin Huang, Xiaoguang Han, Jue Wang

AAAI 2019

[ Project page ] [ Paper ]

Deep Part Induction from Articulated Object Pairs

Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas Guibas

SIGGRAPH Asia 2018

[ Project (Code) ][ Paper ]

Global-to-Local Generative Model for 3D Shapes

Hao Wang*, Nadav Schor*, Ruizhen Hu, Haibin Huang, Daniel Cohen-Or, Hui Huang

SIGGRAPH Asia 2018

[ Project page ] [ Paper ]

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

Haibin Huang, Evangelos Kalogerakis, Siddhartha Chaudhuri, Duygu Ceylan, Vladimir Kim, Ersin Yumer

TOG 2018. (also presented at SIGGRAPH 2018)

[ Project page ] [ Paper ] [ Code ]

Learning to Group Discrete Graphical Patterns

Zhaoliang Lun*, Changqing Zou*, Haibin Huang, Evangelos Kalogerakis, Ping Tan, Marie-Paule Cani, Hao Zhang

SIGGRAPH Asia 2017

[ Project page ] [ Paper ]

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

Xiaoguang Han*, Zhen Li*, Haibin Huang, Evangelos Kalogerakis, Yizhou Yu

ICCV 2017. (Spotlight presentation)

[ Project page ] [ Paper ] [ Code ]

Synthesizing 3D Shapes via Modeling Multi-View Depth Maps and Silhouettes with Deep Generative Networks

Amir Arsalan Soltani, Haibin Huang, Jiajun Wu, Tejas Kulkarni, Joshua Tenenbaum

CVPR 2017

[ Project page ] [ Paper ] [ Code ]

Shape Synthesis from Sketches via Procedural Models and Convolutional Networks

Haibin Huang, Evangelos Kalogerakis, M. Ersin Yumer , Radomir Mech

TVCG 2017

[ Project page ] [ Paper ] [ Code ]

Analysis and synthesis of 3D shape families via deep-learned generative models of surfaces

Haibin Huang, Evangelos Kalogerakis, Benjamin Marlin

Computer Graphics Forum (SGP 2015)

[Project page ] [ Paper 7MB ] [ Code ] [ Slides Video ]

Analogy-Driven 3D Style Transfer

Chongyang Ma, Haibin Huang, Alla Sheffer, Evangelos Kalogerakis, Rui Wang

Computer Graphics Forum (Eurographics 2014)

[Project page ] [ Paper 17MB ] [ Video 28MB Youtube ] [ Slides 8MB ]

Point Sampling with General Noise Spectrum

Yahan Zhou, Haibin Huang, Li-Yi Wei, Rui Wang

SIGGRAPH 2012

[ paper (27M) ] [ paper (11M) ] [ Supp ] [ source Code ]

Haibin Huang

About Me

[2024/03 Update] We have openings for both full time research scientists and research interns, in vision, graphics and related areas, please feel free to drop me an email if you are interested.

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