11 citations · 29 across the 8 of their papers we have counts for
9 papers
3D Gaussian Adaptive Reconstruction for Fourier Light-Field Microscopy
Chenyu Xu, Zhouyu Jin, Chengkang Shen +6
Compared to light-field microscopy (LFM), which enables high-speed volumetric imaging but suffers from non-uniform spatial sampling, Fourier light-field microscopy (FLFM) introduce…
FINER++: Building a Family of Variable-periodic Functions for Activating Implicit Neural Representation
Hao Zhu, Zhen Liu, Qi Zhang +5
Implicit Neural Representation (INR), which utilizes a neural network to map coordinate inputs to corresponding attributes, is causing a revolution in the field of signal processin…
VividTalk: One-Shot Audio-Driven Talking Head Generation Based on 3D Hybrid Prior
Xusen Sun, Longhao Zhang, Hao Zhu +7
Audio-driven talking head generation has drawn much attention in recent years, and many efforts have been made in lip-sync, expressive facial expressions, natural head pose generat…
FINER: Flexible spectral-bias tuning in Implicit NEural Representation by Variable-periodic Activation Functions
Zhen Liu, Hao Zhu, Qi Zhang +5
Implicit Neural Representation (INR), which utilizes a neural network to map coordinate inputs to corresponding attributes, is causing a revolution in the field of signal processin…
Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing
Jian Gao, Chun Gu, Youtian Lin +5
In this paper, we present a novel differentiable point-based rendering framework to achieve photo-realistic relighting. To make the reconstructed scene relightable, we enhance vani…
Continuous 3D Myocardial Motion Tracking via Echocardiography
Chengkang Shen, Hao Zhu, You Zhou +8
Myocardial motion tracking stands as an essential clinical tool in the prevention and detection of cardiovascular diseases (CVDs), the foremost cause of death globally. However, cu…
RHINO: Regularizing the Hash-based Implicit Neural Representation
Hao Zhu, Fengyi Liu, Qi Zhang +2
The use of Implicit Neural Representation (INR) through a hash-table has demonstrated impressive effectiveness and efficiency in characterizing intricate signals. However, current…
Anti-Aliased Neural Implicit Surfaces with Encoding Level of Detail
Yiyu Zhuang, Qi Zhang, Ying Feng +6
We present LoD-NeuS, an efficient neural representation for high-frequency geometry detail recovery and anti-aliased novel view rendering. Drawing inspiration from voxel-based repr…
Disorder-invariant Implicit Neural Representation
Hao Zhu, Shaowen Xie, Zhen Liu +6
Implicit neural representation (INR) characterizes the attributes of a signal as a function of corresponding coordinates which emerges as a sharp weapon for solving inverse problem…