b'Lan Xu'

research

∙ 05/08/2023

HACK: Learning a Parametric Head and Neck Model for High-fidelity Animation

Significant advancements have been made in developing parametric models ...

0 Longwen Zhang, et al. ∙

research

∙ 04/12/2023

InterGen: Diffusion-based Multi-human Motion Generation under Complex Interactions

We have recently seen tremendous progress in diffusion advances for gene...

0 Han Liang, et al. ∙

research

∙ 04/10/2023

Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos

The success of the Neural Radiance Fields (NeRFs) for modeling and free-...

3 Liao Wang, et al. ∙

research

∙ 04/06/2023

Instant-NVR: Instant Neural Volumetric Rendering for Human-object Interactions from Monocular RGBD Stream

Convenient 4D modeling of human-object interactions is essential for num...

0 Yuheng Jiang, et al. ∙

research

∙ 03/31/2023

CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions

Motion capture is a long-standing research problem. Although it has been...

0 Ming Yan, et al. ∙

research

∙ 03/28/2023

CryoFormer: Continuous Reconstruction of 3D Structures from Cryo-EM Data using Transformer-based Neural Representations

High-resolution heterogeneous reconstruction of 3D structures of protein...

0 Xinhang Liu, et al. ∙

research

∙ 03/16/2023

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

We present SLOPER4D, a novel scene-aware dataset collected in large urba...

6 Yudi Dai, et al. ∙

research

∙ 02/02/2023

IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation

This paper presents an inverse kinematic optimization layer (IKOL) for 3...

0 Juze Zhang, et al. ∙

research

∙ 12/15/2022

Relightable Neural Human Assets from Multi-view Gradient Illuminations

Human modeling and relighting are two fundamental problems in computer v...

0 Taotao Zhou, et al. ∙

research

∙ 12/15/2022

NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions

Humans constantly interact with objects in daily life tasks. Capturing s...

0 Juze Zhang, et al. ∙

research

∙ 12/10/2022

HumanGen: Generating Human Radiance Fields with Explicit Priors

Recent years have witnessed the tremendous progress of 3D GANs for gener...

3 Suyi Jiang, et al. ∙

research

∙ 11/30/2022

Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR

Depth estimation is usually ill-posed and ambiguous for monocular camera...

0 Peishan Cong, et al. ∙

research

∙ 11/22/2022

LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors

LiDAR can capture accurate depth information in large-scale scenarios wi...

0 Xiao Han, et al. ∙

research

∙ 10/27/2022

Learning Variational Motion Prior for Video-based Motion Capture

Motion capture from a monocular video is fundamental and crucial for us ...

0 Xin Chen, et al. ∙

research

∙ 09/14/2022

SCULPTOR: Skeleton-Consistent Face Creation Using a Learned Parametric Generator

Recent years have seen growing interest in 3D human faces modelling due ...

0 Zesong Qiu, et al. ∙

research

∙ 07/16/2022

Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation

Inter-person occlusion and depth ambiguity make estimating the 3D poses ...

0 Juze Zhang, et al. ∙

research

∙ 07/03/2022

NARRATE: A Normal Assisted Free-View Portrait Stylizer

In this work, we propose NARRATE, a novel pipeline that enables simultan...

0 Youjia Wang, et al. ∙

research

∙ 05/30/2022

LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors

We propose a multi-sensor fusion method for capturing challenging 3D hum...

5 Chengfeng Zhao, et al. ∙

research

∙ 04/03/2022

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Accurately detecting and tracking pedestrians in 3D space is challenging...

13 Peishan Cong, et al. ∙

research

∙ 03/28/2022

LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds

Existing motion capture datasets are largely short-range and cannot yet ...

26 Jialian Li, et al. ∙

research

∙ 03/17/2022

HybridCap: Inertia-aid Monocular Capture of Challenging Human Motions

Monocular 3D motion capture (mocap) is beneficial to many applications. ...

5 Han Liang, et al. ∙

research

∙ 03/17/2022

HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR

We propose Human-centered 4D Scene Capture (HSC4D) to accurately and eff...

16 Yudi Dai, et al. ∙

research

∙ 03/08/2022

NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Implicit Representation

Existing neural reconstruction schemes such as Neural Radiance Field (Ne...

2 Ziyu Wang, et al. ∙

research

∙ 02/25/2022

NeuralFusion: Neural Volumetric Rendering under Human-object Interactions

4D modeling of human-object interactions is critical for numerous applic...

0 Yuheng Jiang, et al. ∙

research

∙ 02/12/2022

NeuVV: Neural Volumetric Videos with Immersive Rendering and Editing

Some of the most exciting experiences that Metaverse promises to offer, ...

0 Jiakai Zhang, et al. ∙

research

∙ 02/11/2022

Artemis: Articulated Neural Pets with Appearance and Motion synthesis

We, humans, are entering into a virtual era and indeed want to bring ani...

0 Haimin Luo, et al. ∙

research

∙ 02/11/2022

Video-driven Neural Physically-based Facial Asset for Production

Production-level workflows for producing convincing 3D dynamic human fac...

0 Longwen Zhang, et al. ∙

research

∙ 02/09/2022

NIMBLE: A Non-rigid Hand Model with Bones and Muscles

Emerging Metaverse applications demand reliable, accurate, and photoreal...

0 Yuwei Li, et al. ∙

research

∙ 12/06/2021

HumanNeRF: Generalizable Neural Human Radiance Field from Sparse Inputs

Recent neural human representations can produce high-quality multi-view ...

0 Fuqiang Zhao, et al. ∙

research

∙ 08/19/2021

Towards Controllable and Photorealistic Region-wise Image Manipulation

Adaptive and flexible image editing is a desirable function of modern ge...

5 Ansheng You, et al. ∙

research

∙ 08/12/2021

iButter: Neural Interactive Bullet Time Generator for Human Free-viewpoint Rendering

Generating “bullet-time” effects of human free-viewpoint videos is criti...

4 Liao Wang, et al. ∙

research

∙ 08/01/2021

Neural Free-Viewpoint Performance Rendering under Complex Human-object Interactions

4D reconstruction of human-object interaction is critical for immersive ...

0 Guoxing Sun, et al. ∙

research

∙ 07/30/2021

Neural Relighting and Expression Transfer On Video Portraits

Photo-realistic video portrait reenactment benefits virtual production a...

24 Youjia Wang, et al. ∙

research

∙ 07/14/2021

Few-shot Neural Human Performance Rendering from Sparse RGBD Videos

Recent neural rendering approaches for human activities achieve remarkab...

0 Anqi Pang, et al. ∙

research

∙ 06/29/2021

IREM: High-Resolution Magnetic Resonance (MR) Image Reconstruction via Implicit Neural Representation

For collecting high-quality high-resolution (HR) MR image, we propose a ...

0 Qing Wu, et al. ∙

research

∙ 06/21/2021

PIANO: A Parametric Hand Bone Model from Magnetic Resonance Imaging

Hand modeling is critical for immersive VR/AR, action understanding, or ...

18 Yuwei Li, et al. ∙

research

∙ 04/30/2021

RobustFusion: Robust Volumetric Performance Reconstruction under Human-object Interactions from Monocular RGBD Stream

High-quality 4D reconstruction of human performance with complex interac...

0 Zhuo Su, et al. ∙

research

∙ 04/30/2021

Editable Free-viewpoint Video Using a Layered Neural Representation

Generating free-viewpoint videos is critical for immersive VR/AR experie...

0 Jiakai Zhang, et al. ∙

research

∙ 04/23/2021

SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos

Markerless motion capture and understanding of professional non-daily hu...

0 Xin Chen, et al. ∙

research

∙ 04/06/2021

MirrorNeRF: One-shot Neural Portrait RadianceField from Multi-mirror Catadioptric Imaging

Photo-realistic neural reconstruction and rendering of the human portrai...

4 Ziyu Wang, et al. ∙

research

∙ 04/05/2021

Convolutional Neural Opacity Radiance Fields

Photo-realistic modeling and rendering of fuzzy objects with complex opa...

0 Haimin Luo, et al. ∙

research

∙ 04/01/2021

Neural Video Portrait Relighting in Real-time via Consistency Modeling

Video portraits relighting is critical in user-facing human photography,...

0 Longwen Zhang, et al. ∙

research

∙ 03/29/2021

GNeRF: GAN-based Neural Radiance Field without Posed Camera

We introduce GNeRF, a framework to marry Generative Adversarial Networks...

21 Quan Meng, et al. ∙

research

∙ 03/13/2021

NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering using RGB Cameras

4D reconstruction and rendering of human activities is critical for imme...

0 Xin Suo, et al. ∙

research

∙ 03/11/2021

ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References

Capturing challenging human motions is critical for numerous application...

0 Yannan He, et al. ∙

research

∙ 03/14/2020

OccuSeg: Occupancy-aware 3D Instance Segmentation

3D instance segmentation, with a variety of applications in robotics and...

0 Lei Han, et al. ∙

research

∙ 08/30/2019

EventCap: Monocular 3D Capture of High-Speed Human Motions using an Event Camera

The high frame rate is a critical requirement for capturing fast human m...

6 Lan Xu, et al. ∙

research

∙ 09/18/2017

Beyond SIFT using Binary features for Loop Closure Detection

In this paper a binary feature based Loop Closure Detection (LCD) method...

0 Lei Han, et al. ∙

research

∙ 10/29/2016

FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Cameras

Aiming at automatic, convenient and non-instrusive motion capture, this ...

0 Lan Xu, et al. ∙

Lan Xu

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