3 citations · 11 across the 8 of their papers we have counts for
9 papers
ReX-Shot: Single-Image Rephotography via Geometry- and Camera-Grounded Generation
Ruiqi Zhang, Hao Zhu, Wenhao Zhang +5
Single-image rephotography aims to synthesize new shots of a scene from a single reference image with specified viewpoints, focal lengths, and photographic effects, which are intri…
Mitigating Ambiguities in 3D Classification with Gaussian Splatting
Ruiqi Zhang, Hao Zhu, Jingyi Zhao +3
3D classification with point cloud input is a fundamental problem in 3D vision. However, due to the discrete nature and the insufficient material description of point cloud represe…
Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°
Yuxiao He, Yiyu Zhuang, Yanwen Wang +6
Creating a 360° parametric model of a human head is a very challenging task. While recent advancements have demonstrated the efficacy of leveraging synthetic data for building such…
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…
Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending
Delong Wu, Hao Zhu, Qi Zhang +3
Implicit Neural Representation (INR) has become a popular method for representing visual signals (e.g., 2D images and 3D scenes), demonstrating promising results in various downstr…
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…
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…