1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Shallow Signed Distance Functions for Kinematic Collision Bodies
Osman Akar, Yushan Han, Yizhou Chen +4
We present learning-based implicit shape representations designed for real-time avatar collision queries arising in the simulation of clothing. Signed distance functions (SDFs) hav…
cs.GR2024★ 1 cited
A Neural-Network-Based Approach for Loose-Fitting Clothing
Yongxu Jin, Dalton Omens, Zhenglin Geng +4
Since loose-fitting clothing contains dynamic modes that have proven to be difficult to predict via neural networks, we first illustrate how to coarsely approximate these modes wit…
cs.LG2023★ 1 cited
Software-based Automatic Differentiation is Flawed
Daniel Johnson, Trevor Maxfield, Yongxu Jin +1
Various software efforts embrace the idea that object oriented programming enables a convenient implementation of the chain rule, facilitating so-called automatic differentiation v…