A5018796256- Computer Graphics and Visualization Techniques
- Advanced Numerical Analysis Techniques
- 3D Shape Modeling and Analysis
- Speech Recognition and Synthesis
- Music and Audio Processing
- Human Motion and Animation
- Speech and Audio Processing
- Model Reduction and Neural Networks
Tencent (China)
2023
Columbia University
2022
Abstract Neural Radiance Fields (NeRF) have significantly advanced the generation of highly realistic and expressive 3D scenes. However, task editing NeRF, particularly in terms geometry modification, poses a significant challenge. This issue has obstructed NeRF's wider adoption across various applications. To tackle problem efficiently neural implicit fields, we introduce Impostor , hybrid representation incorporating an explicit tetrahedral mesh alongside multigrid field designated for...
The long runtime of high-fidelity partial differential equation (PDE) solvers makes them unsuitable for time-critical applications. We propose to accelerate PDE using reduced-order modeling (ROM). Whereas prior ROM approaches reduce the dimensionality discretized vector fields, our continuous (CROM) approach builds a low-dimensional embedding fields themselves, not their discretization. represent this reduced manifold continuously differentiable neural which may train on any and all...
Neural Radiance Fields (NeRF) have significantly advanced the generation of highly realistic and expressive 3D scenes. However, task editing NeRF, particularly in terms geometry modification, poses a significant challenge. This issue has obstructed NeRF's wider adoption across various applications. To tackle problem efficiently neural implicit fields, we introduce Impostor, hybrid representation incorporating an explicit tetrahedral mesh alongside multigrid field designated for each...
3D characters are essential to modern creative industries, but making them animatable often demands extensive manual work in tasks like rigging and skinning. Existing automatic tools face several limitations, including the necessity for annotations, rigid skeleton topologies, limited generalization across diverse shapes poses. An alternative approach is generate avatars pre-bound a rigged template mesh. However, this method lacks flexibility typically realistic human shapes. To address these...
Realtime speech denoising has been long studied. Almost all existing methods process the incoming data stream using a sliding window of fixed-size. Yet, we show that use fixed-size may lead to an accumulating lag, especially in presence other background computing processes occupy CPU resources. In response, propose new strategy and lightweight neural network leverage it. Our experiments proposed approach achieves quality on par with stateof-the-art realtime models. More importantly, our is...