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Found 5 papers, 3 papers with code
HeadEvolver: Text to Head Avatars via Locally Learnable Mesh Deformation
We present HeadEvolver, a novel framework to generate stylized head avatars from text guidance.
MagicScroll: Nontypical Aspect-Ratio Image Generation for Visual Storytelling via Multi-Layered Semantic-Aware Denoising
Visual storytelling often uses nontypical aspect-ratio images like scroll paintings, comic strips, and panoramas to create an expressive and compelling narrative.
Efficient LLM Inference on CPUs
Large language models (LLMs) have demonstrated remarkable performance and tremendous potential across a wide range of tasks.
An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs
We apply our sparse accelerator on widely-used Transformer-based language models including Bert-Mini, DistilBERT, Bert-Base, and BERT-Large.
Fast DistilBERT on CPUs
In this work, we propose a new pipeline for creating and running Fast Transformer models on CPUs, utilizing hardware-aware pruning, knowledge distillation, quantization, and our own Transformer inference runtime engine with optimized kernels for sparse and quantized operators.
