Core Viewpoint - A new wave of "small but beautiful" AI applications is emerging, transforming traditional art and design into innovative experiences, such as converting famous paintings into music and generating UI designs from text descriptions [1][2][3]. Group 1: National Gallery Mixtape - The application allows users to upload famous paintings, such as Van Gogh's "Sunflowers," and AI analyzes colors, themes, and emotions to generate corresponding music [5]. - It utilizes Google's multimodal model Gemini for artwork analysis and MusicFX DJ for real-time composition, turning visual elements into musical notes [3][5]. Group 2: Stitch - Google Labs' Stitch simplifies the UI design process by allowing users to describe their product interface needs in detail, generating complete UI design drafts instantly [6][9]. - It supports exporting designs to Figma files or frontend code, enhancing workflow integration for designers [9]. Group 3: Portraits - Portraits is an AI virtual assistant that provides career guidance and role-playing practice, modeled after former executives like Kim Scott [10][13]. - Users can interact with the AI for professional advice and receive feedback on their performance in simulated scenarios [13]. Group 4: Talking Tours - Talking Tours offers an interactive map featuring global landmarks, allowing users to explore and receive detailed explanations from an AI guide [14][17]. - Users can ask questions and request re-explanations, making it a valuable tool for history and culture enthusiasts [17]. Group 5: Whisk - Whisk stands out in the AI image generation field by allowing users to upload reference images, making it user-friendly for beginners [18][19]. - It integrates animation features, enabling users to create short videos from static images, catering to content creators and artists [19]. Group 6: Voice Tower - The Voice Tower application utilizes advanced voice cloning technology to replicate a user's voice accurately, allowing for easy podcast creation [20][22]. - It captures speech patterns and nuances, enabling users to generate audio content quickly and naturally [22].

闻乐 发自 凹非寺 量子位 | 公众号 QbitAI 担心网购衣服不合身？谷歌帮你云试穿！ 谷歌推出最新应用 Doppl ，只需要上传一张照片，随时随地都能看到喜欢的衣服"穿"在自己身上。 还能选择生成动态视频看效果，再也不用试衣间门口排长队了。 这和照镜子有什么区别！甚至看后背比照镜子转身扭头还轻松（doge）。 谷歌负责虚拟试穿、购物生成式视觉的首席科学家ira kemelmacher晒出了自己的试穿效果： 网友们也来测试了一下 （右边是网友自己找的想试穿的衣服图片，左边是Doppl试穿效果） ： 任何人任何时间任何地点，云逛街这不就来了～ 不仅能"试穿"，还能帮忙搭配 只不过，先前推出的这个功能只支持"静态试穿"。而现在的Doppl支持 "动态试穿" ，效果更直观。 有网友"试穿"后问有没有什么使用建议能达到最佳效果，官网也来积极回应。 这里给大家总结一下。 首先，上传一张仅包含本人的全身照（确保从头顶到脚部），照片服装尽量选贴身服装，以便后续能生成更真实的效果，如果没有合适的照 片，也可以使用Doppl预设的AI模特。 然后，在选择"衣服"的照片时，尽量选择光线自然，无过多褶皱的衣服，如果是模特截图， ...

Core Viewpoint - The article discusses the innovative AI applications developed by Google Labs, emphasizing their fun, practical, and diverse nature, moving beyond traditional model updates and parameters [3][5][90]. Group 1: Google Labs Overview - Google Labs has over thirty AI products that are either open or will soon be available, showcasing significant innovation [5]. - The project aims to help users learn in more engaging ways, enhance productivity, and integrate AI into daily life [5][90]. - Google Labs was initially launched in 2002 to foster creativity among employees, allowing them to dedicate 20% of their time to innovative projects [92][94]. Group 2: Featured AI Products - **National Gallery Mixtape**: Generates music based on a given painting, enhancing the understanding of art through sound [10][11][28]. - **Learn About**: An AI-assisted learning tool that structures knowledge acquisition, providing a framework, interactive learning methods, and self-assessment [29][32][54]. - **Little Language Lessons**: A practical language learning tool that focuses on relevant vocabulary, local dialogues, and real-life applications [54][60][66]. - **Stitch**: A design tool that allows users to create UI interfaces using natural language or image references, streamlining the design process [67][72][78]. - **Portraits**: A workplace tool featuring a virtual expert that provides advice on professional challenges, simulating real-life interactions [80][82][86]. Group 3: Google Labs' Evolution - Google Labs was shut down in 2011 as the company shifted focus to core business needs, but innovation efforts continued through other projects [94][96]. - The resurgence of Google Labs is characterized by a focus on small-scale projects, rapid iteration, and future-oriented product development [100][104][106]. - The approach aims to maintain vitality in a rapidly changing AI landscape, emphasizing innovation as a key productivity driver [108][110].