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cs.CV2024
Massively Multi-Person 3D Human Motion Forecasting with Scene Context
Felix B Mueller, Julian Tanke, Juergen Gall
Forecasting long-term 3D human motion is challenging: the stochasticity of human behavior makes it hard to generate realistic human motion from the input sequence alone. Informatio…
cs.CV2024★ 2 cited
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Jifeng Wang, Kaouther Messaoud, Yuejiang Liu +2
Recent advancements in motion forecasting have been significantly accelerated by self-supervised pre-training techniques. However, current methods typically rely on extensive fine-…