We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding.
Ranked #1 on Text-to-Image Generation on COCO (using extra training data)
We present SymForce, a library for fast symbolic computation, code generation, and nonlinear optimization for robotics applications like computer vision, motion planning, and controls.
This paper describes the system developed by the NPU team for the 2020 personalized voice trigger challenge.
Toward more descriptive and distinctive caption generation, we propose using CLIP, a multimodal encoder trained on huge image-text pairs from web, to calculate multimodal similarity and use it as a reward function.
We introduce Ivy, a templated Deep Learning (DL) framework which abstracts existing DL frameworks.
Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style.
Ranked #5 on Text-to-Image Generation on COCO (using extra training data)