Publications (11)
HairFormer: Transformer-Based Dynamic Neural Hair Simulation
Joy Xiaoji Zhang, Jingsen Zhu, Hanyu Chen +1
Simulating hair dynamics that generalize across arbitrary hairstyles, body shapes, and motions is a critical challenge. Our novel two-stage neural solution is the first to leverage…
Accurate Differential Operators for Hybrid Neural Fields
Aditya Chetan, Guandao Yang, Zichen Wang +2
Neural fields have become widely used in various fields, from shape representation to neural rendering, and for solving partial differential equations (PDEs). With the advent of hy…
A Simple Approach to Differentiable Rendering of SDFs
Zichen Wang, Xi Deng, Ziyi Zhang +2
We present a simple algorithm for differentiable rendering of surfaces represented by Signed Distance Fields (SDF), which makes it easy to integrate rendering into gradient-based o…
Self-Calibrating Gaussian Splatting for Large Field of View Reconstruction
Youming Deng, Wenqi Xian, Guandao Yang +4
In this paper, we present a self-calibrating framework that jointly optimizes camera parameters, lens distortion and 3D Gaussian representations, enabling accurate and efficient sc…
ObjectCarver: Semi-automatic segmentation, reconstruction and separation of 3D objects
Gemmechu Hassena, Jonathan Moon, Ryan Fujii +4
Implicit neural fields have made remarkable progress in reconstructing 3D surfaces from multiple images; however, they encounter challenges when it comes to separating individual o…
Fiber-level Woven Fabric Capture from a Single Photo
Zixuan Li, Pengfei Shen, Hanxiao Sun +7
Accurately rendering the appearance of fabrics is challenging, due to their complex 3D microstructures and specialized optical properties. If we model the geometry and optics of fa…