Liquid Neural Network deformation field using CfC cells matches or exceeds MLP baseline on D-NeRF and NeRF-DS scenes, with largest gains on high-frequency articulated motion.
Liquid Time -constant Networks
2 Pith papers cite this work, alongside 3 external citations. Polarity classification is still indexing.
2
Pith papers citing it
3
external citations · external index
years
2026 2verdicts
UNVERDICTED 2representative citing papers
LIFE is a proposed agentic framework that combines four components to enable incremental, flexible, and energy-efficient continual learning for HPC operations such as latency spike mitigation.
citing papers explorer
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Liquid Neural Networks as a Drop-in Continuous-Time Deformation Field for Dynamic 3D Gaussian Splatting
Liquid Neural Network deformation field using CfC cells matches or exceeds MLP baseline on D-NeRF and NeRF-DS scenes, with largest gains on high-frequency articulated motion.
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LIFE -- an energy efficient advanced continual learning agentic AI framework for frontier systems
LIFE is a proposed agentic framework that combines four components to enable incremental, flexible, and energy-efficient continual learning for HPC operations such as latency spike mitigation.