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ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image

TLDR We present ConRad, a novel approach for generating a 3D model from a single RGB image. We introduce a 3D representation that allows us to explicitly constrain the appearance of the object using the input image which leads to preservation of depicted details.   Background Over the last few years,

05 May 2023 • #image generation

EDICT: Accurate Text-Guided Image Editing with Diffusion Models

TL;DR: Text-to-image diffusion models are very adept at generating novel images from a text prompt, but current adaptations of these methods to image editing suffer from a lack of consistency and faithfulness to the original image. Many of these discrepancies can be traced to the difficulty of inverting the

09 Jan 2023 • #text-to-image diffusion

Learning from evolution: Using AI language models to design functional artificial proteins

AI can learn the language of biology to create artificial proteins across multiple protein types that are functional and unseen in nature.

19 Jul 2021 • #research

ReceptorNet: Breast Cancer Therapy Decisions using AI

AI makes breast cancer therapy decisions more accurate, affordable and accessible using visual clues in pathology images invisible to the eye

09 Dec 2020 • #artificial intelligence

The AI Economist: Improving Equality and Productivity with AI-Driven Tax Policies

In this work, we focus on the opportunity to use AI to promote social welfare through the design of optimal tax policies in dynamic economies.

28 Apr 2020 • #research
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