Publications (21)
NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video
Jiaming Sun, Yiming Xie, Linghao Chen +2
We present a novel framework named NeuralRecon for real-time 3D scene reconstruction from a monocular video. Unlike previous methods that estimate single-view depth maps separately…
Rydberg Atomic Quantum Receivers for Classical Wireless Communications and Sensing: Their Models and Performance
Tierui Gong, Jiaming Sun, Chau Yuen +6
The significant progress of quantum sensing technologies offer numerous radical solutions for measuring a multitude of physical quantities at an unprecedented precision. Among them…
Relightable and Animatable Neural Avatar from Sparse-View Video
Zhen Xu, Sida Peng, Chen Geng +5
This paper tackles the challenge of creating relightable and animatable neural avatars from sparse-view (or even monocular) videos of dynamic humans under unknown illumination. Com…
OnePose++: Keypoint-Free One-Shot Object Pose Estimation without CAD Models
Xingyi He, Jiaming Sun, Yuang Wang +3
We propose a new method for object pose estimation without CAD models. The previous feature-matching-based method OnePose has shown promising results under a one-shot setting which…
Modeling Indirect Illumination for Inverse Rendering
Yuanqing Zhang, Jiaming Sun, Xingyi He +3
Recent advances in implicit neural representations and differentiable rendering make it possible to simultaneously recover the geometry and materials of an object from multi-view R…
SMAP: Single-Shot Multi-Person Absolute 3D Pose Estimation
Jianan Zhen, Qi Fang, Jiaming Sun +4
Recovering multi-person 3D poses with absolute scales from a single RGB image is a challenging problem due to the inherent depth and scale ambiguity from a single view. Addressing…
EasyVolcap: Accelerating Neural Volumetric Video Research
Zhen Xu, Tao Xie, Sida Peng +7
Volumetric video is a technology that digitally records dynamic events such as artistic performances, sporting events, and remote conversations. When acquired, such volumography ca…
De novo design of alpha-helical peptide amphiphiles repairing fragmented collagen type I via supramolecular co-assembly
Shanshan Su, Jie Yang, Guo Zhang +11
The hierarchical triple-helix structure of collagen type I, Col I, is essential for extracellular matrix support and integrity. However, current reconstruction strategies face chal…
Representing Long Volumetric Video with Temporal Gaussian Hierarchy
Zhen Xu, Yinghao Xu, Zhiyuan Yu +4
This paper aims to address the challenge of reconstructing long volumetric videos from multi-view RGB videos. Recent dynamic view synthesis methods leverage powerful 4D representat…
CPPF: A contextual and post-processing-free model for automatic speech recognition
Lei Zhang, Zhengkun Tian, Xiang Chen +4
ASR systems have become increasingly widespread in recent years. However, their textual outputs often require post-processing tasks before they can be practically utilized. To addr…
Growth and Properties of Quaternary Alloy Magnetic Semiconductor (InGaMn)As
Shinobu Ohya, Hiromasa Shimizu, Yutaka Higo +2
We have studied growth and properties of quaternary alloy magnetic semiconductor (InGaMn)As grown both on GaAs substrates and on InP substrates by low-temperature molecular-beam ep…
4K4D: Real-Time 4D View Synthesis at 4K Resolution
Zhen Xu, Sida Peng, Haotong Lin +5
This paper targets high-fidelity and real-time view synthesis of dynamic 3D scenes at 4K resolution. Recently, some methods on dynamic view synthesis have shown impressive renderin…
Reconstructing Hand-Held Objects from Monocular Video
Di Huang, Xiaopeng Ji, Xingyi He +5
This paper presents an approach that reconstructs a hand-held object from a monocular video. In contrast to many recent methods that directly predict object geometry by a trained n…
FreeTimeGS: Free Gaussian Primitives at Anytime and Anywhere for Dynamic Scene Reconstruction
Yifan Wang, Peishan Yang, Zhen Xu +6
This paper addresses the challenge of reconstructing dynamic 3D scenes with complex motions. Some recent works define 3D Gaussian primitives in the canonical space and use deformat…
Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation
Haotong Lin, Sida Peng, Jingxiao Chen +7
Prompts play a critical role in unleashing the power of language and vision foundation models for specific tasks. For the first time, we introduce prompting into depth foundation m…
LoFTR: Detector-Free Local Feature Matching with Transformers
Jiaming Sun, Zehong Shen, Yuang Wang +2
We present a novel method for local image feature matching. Instead of performing image feature detection, description, and matching sequentially, we propose to first establish pix…
OnePose: One-Shot Object Pose Estimation without CAD Models
Jiaming Sun, Zihao Wang, Siyu Zhang +4
We propose a new method named OnePose for object pose estimation. Unlike existing instance-level or category-level methods, OnePose does not rely on CAD models and can handle objec…
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Jiaming Sun, Linghao Chen, Yiming Xie +4
In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images. Many recent works solve this problem by first recovering a point cloud with di…
Detector-Free Structure from Motion
Xingyi He, Jiaming Sun, Yifan Wang +4
We propose a new structure-from-motion framework to recover accurate camera poses and point clouds from unordered images. Traditional SfM systems typically rely on the successful d…
A dispersal recolonisation 3D biofilm in vitro model based on co-assembled peptide amphiphiles and clinical wound fluid
Zhiquan Yu, Chenjia Zhao, Lingyun Xiong +9
Chronic wound infections are sustained by dynamic 3D biofilm cycles involving maturation, dispersal, and recolonisation, yet existing in vitro models fail to reproduce these tempor…
Neural 3D Reconstruction in the Wild
Jiaming Sun, Xi Chen, Qianqian Wang +4
We are witnessing an explosion of neural implicit representations in computer vision and graphics. Their applicability has recently expanded beyond tasks such as shape generation a…