219 citations · 221 across the 4 of their papers we have counts for
4 papers
Scaling On-Device GPU Inference for Large Generative Models
Jiuqiang Tang, Raman Sarokin, Ekaterina Ignasheva +5
Driven by the advancements in generative AI, large machine learning models have revolutionized domains such as image processing, audio synthesis, and speech recognition. While serv…
StreamVC: Real-Time Low-Latency Voice Conversion
Yang Yang, Yury Kartynnik, Yunpeng Li +4
We present StreamVC, a streaming voice conversion solution that preserves the content and prosody of any source speech while matching the voice timbre from any target speech. Unlik…
Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations
Yu-Hui Chen, Raman Sarokin, Juhyun Lee +4
The rapid development and application of foundation models have revolutionized the field of artificial intelligence. Large diffusion models have gained significant attention for th…
MediaPipe: A Framework for Building Perception Pipelines
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash +11
Building applications that perceive the world around them is challenging. A developer needs to (a) select and develop corresponding machine learning algorithms and models, (b) buil…