3 accepted papers
Large language model (LLM) services now answer billions of queries per day, and industry reports show that inference, not training, accounts for more than 90% of total power consumption. However, existing benchmarks focus on either training/fine-tuning or performance of inference and provide little
Due to the complex geometric features of facial expressions, achieving realistic facial expression transfer is a challenging task. This paper proposes a two-stage facial expression transfer method based on 3D Morphable Model (3DMM) and diffusion models. In the first stage, 3DMM-based DECA model is e…
The traditional oscillators are limited by their material characteristics and structural configuration, exhibiting a low oscillation frequency and low output power under pressure input. This results in a slow locomotion speed for the robot. To address these limitations, this work presents a compact,