A progressive neural network automatically specializes experts on varying difficulty levels to enable stable physics-based tracking of contact-rich character interactions.
Diffmimic: Efficient motion mimicking with differentiable physics
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
This perspective paper categorizes hybrid architectures for combining mechanistic and data-driven models using residual learning, Neural ODEs, and solver-in-the-loop to model neurological disorder progression.
citing papers explorer
-
Physics-Based Motion Tracking of Contact-Rich Interacting Characters
A progressive neural network automatically specializes experts on varying difficulty levels to enable stable physics-based tracking of contact-rich character interactions.
-
Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming
This perspective paper categorizes hybrid architectures for combining mechanistic and data-driven models using residual learning, Neural ODEs, and solver-in-the-loop to model neurological disorder progression.