Les 10 concurrents promtist.ai les plus visités

promptus.ai

Promptus with ComfyUI for a one-time $49 purchase. Create AI videos, images and 3D with Promptus. Download ComfyUI and start generating unlimited AI images.

promptai.co

PromptAI is an AI company specializing in visual intelligence for consumer applications. Our groundbreaking home AI app, Seemour, enhances your home cameras with advanced AI capabilities. Built by experts with unmatched Visual Intelligence expertise, we’re revolutionizing how technology sees the world. Learn more about our innovative solutions!

prompt.com

Simply the easiest way to enjoy AI and GPT.

aiprm.com

The Ultimate Time Saver for ChatGPT and other AI models. Trusted by over 2 million users and some of the world’s biggest brands.

truehorizon.ai

Topgolf Oberhausen is a high-volume experiential entertainment venue.

dena.ai

2019年2月6日(水)に開催予定のDeNA TechCon 2019でAIシステム部の研究開発エンジニアの奥村、岡田にて逆転オセロニアゲームAIの導入事例に関して紹介いたします。 タイトル 運用中のゲームにAIを導入するには〜プロジェクト推進・ユースケース・運用〜 登壇者 奥村純、岡田健 内容： DeNAのゲーム事業では、より良いゲーム体験を提供するために様々なAI技術を活用する取り組みを行っています。 過去の発表では「どのような技術を用いているのか」といった話を中心に紹介してきましたが、この度のTec

saltlux.com

AI 에이전트, AI 검색, 생성형 AI 챗봇까지, 기업을 위한 최첨단AI 솔루션을 제공하는, 대한민국 최고의 인공지능 서비스 기업.

theresanaiforthat.com

The #1 website for AI tools. Used by 80 million people to find the right tool for any task or use case.

jonbarron.info

Though neural radiance fields (NeRF) have demonstrated impressive view synthesis results on objects and small bounded regions of space, they struggle on 'unbounded' scenes, where the camera may point in any direction and content may exist at any distance. In this setting, existing NeRF-like models often produce blurry or low-resolution renderings (due to the unbalanced detail and scale of nearby and distant objects), are slow to train, and may exhibit artifacts due to the inherent ambiguity of the task of reconstructing a large scene from a small set of images. We present an extension of mip-NeRF (a NeRF variant that addresses sampling and aliasing) that uses a non-linear scene parameterization, online distillation, and a novel distortion-based regularizer to overcome the challenges presented by unbounded scenes. Our model, which we dub 'mip-NeRF 360' as we target scenes in which the camera rotates 360 degrees around a point, reduces mean-squared error by 54% compared to mip-NeRF, and is able to produce realistic synthesized views and detailed depth maps for highly intricate, unbounded real-world scenes.

bjlkeng.io

A short post on showing what happens if you keep summarizing a piece of text.