[{"data":1,"prerenderedAt":382},["ShallowReactive",2],{"$fgukOamtKU1RtUiMFsqdObttmqPPQz0uc7bl_gj_LyX0":3,"$f0h-Z6i7zCWKVHkNrF-m9EH0un9TaIypfEdilIyjNs8U":245,"article-437":381},{"code":4,"msg":5,"data":6},0,"",{"category":7,"tag":11,"popular":19,"latest":86,"banner":126,"list":151,"cache":244},[8,9,10],"Agent","OpenAI","LLM",[8,12,13,14,9,10,15,16,17,18],"Google","Nvidia","Claude","DeepSeek","OCR","Chat","Generator",[20,29,37,45,54,62,70,79],{"id":21,"publish_date":22,"is_original":23,"collection":5,"cover_url":24,"cover_url_1_1":25,"title":26,"summary":27,"author":28},411,"2023-09-10",1,"article_res/cover/451ef50c225a8dc61c4336506794d13b.jpeg","article_res/cover/3ba9dc7a72f87d40b20fc2d225289ee3.jpeg","Idealism","Reality is created by the mind, we can change our reality by changing our mind. - Plato","Renee's Entrepreneurial Journey",{"id":30,"publish_date":31,"is_original":23,"collection":32,"cover_url":33,"cover_url_1_1":34,"title":35,"summary":36,"author":28},108,"2024-12-07","#LLM #AGI #AI Agent","article_res/cover/0039044422e4ec9f61c18e8ee1693bb0.jpeg","article_res/cover/4220971b108a91d21407d87bb02fbaa6.jpeg","Freysa.ai: The World's First Adversarial AI Agent Game","说服 Freysa 把钱包里的钱都拿出来",{"id":38,"publish_date":39,"is_original":23,"collection":40,"cover_url":41,"cover_url_1_1":42,"title":43,"summary":44,"author":28},12,"2025-03-09","#Oxford #Reasoning #LLM #Tool Use","article_res/cover/d448e9b3617a0b5302e1bd10c438bca9.jpeg","article_res/cover/864a468f9cc4c9317efadb3811909888.jpeg","Agentic Reasoning Framework - Significantly enhance the reasoning ability of LLMs through the integration of external tools using agents","Agentic Reasoning: Reasoning LLMs with Tools for Deep Research",{"id":46,"publish_date":47,"is_original":4,"collection":48,"cover_url":49,"cover_url_1_1":50,"title":51,"summary":52,"author":53},480,"2023-04-14","#Stable Diffusion","article_res/cover/0bdbe7cb1de4a78e54536e5d9afa7ec9.jpeg","article_res/cover/b3d6ffec0608dcfaf18c5a69906d1490.jpeg","【AIGC Learning】Generate Prompts Using Word Graphs - Stable Diffusion Web UI Series 13","AI will become a powerful tool in education, transforming the way we learn and deliver instruction.  \n- Reid Hoffman","--",{"id":55,"publish_date":56,"is_original":4,"collection":57,"cover_url":58,"cover_url_1_1":59,"title":60,"summary":61,"author":28},413,"2023-09-08","#Neuroscience","article_res/cover/74f8302d78a23d9430f22171eae136b6.jpeg","article_res/cover/87ca08af81bb304746be5261160964c0.jpeg","Can machines be conscious?","Do we have an ethical obligation to not turn off conscious machines? Would turning them off be murder? No. I don't lose any sleep over unplugging a conscious machine.\n- Jeff Hawkins, \"A Thousand Brains\"",{"id":63,"publish_date":64,"is_original":23,"collection":65,"cover_url":66,"cover_url_1_1":67,"title":68,"summary":69,"author":28},178,"2024-09-09","#Entrepreneurship","article_res/cover/a7224f025b55d1820408085faef63079.jpeg","article_res/cover/11a9995b096cbf64465ef01b8673b154.jpeg","37signals company","This damn sense of relaxation",{"id":71,"publish_date":72,"is_original":4,"collection":73,"cover_url":74,"cover_url_1_1":75,"title":76,"summary":77,"author":78},460,"2023-05-12","#Google","article_res/cover/b970687b12faa52da976f91248c2aa7b.jpeg","article_res/cover/d1e71b52cfd2c63bc6e71f3e85ff135c.jpeg","Learn what BRC-20 and Ordinals are using Google Bard","Ordinals - a new protocol that allows users to store arbitrary data on the Bitcoin blockchain","Google Bard mainly writes",{"id":80,"publish_date":81,"is_original":23,"collection":5,"cover_url":82,"cover_url_1_1":83,"title":84,"summary":85,"author":28},309,"2024-03-26","article_res/cover/9877f95894ee88532d0e6012c23a2df3.jpeg","article_res/cover/20092164ddc109ce6ae56b1984246751.jpeg","Learning the Cancun Upgrade with lepton and perplexity","Building a quick conversation-based search demo with Lepton AI.",[87,95,103,111,119],{"id":88,"publish_date":89,"is_original":23,"collection":90,"cover_url":91,"cover_url_1_1":92,"title":93,"summary":94,"author":28},627,"2025-03-20","#AI Avatar #AI Video Generation","article_res/cover/d95481358f73924989f8c4ee9c75d1c8.jpeg","article_res/cover/b74bc0fab01f8b6a6aa87696c0c3ed8b.jpeg","DisPose: Generating Animated Videos by Driving Video with Reference Images","DisPose is a controllable human image animation method that enhances video generation.",{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},626,"2025-03-21","#Deep Dive into LLMs #LLM #RL #Andrej Karpathy #AlphaGo","article_res/cover/446553a5c8f8f2f07d97b20eaee84e56.jpeg","article_res/cover/e6c2823409c9b34624064b9acbaca6f1.jpeg","AlphaGo and the Power of Reinforcement Learning - 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An automated website-building platform composed of multiple AI Agents","Your 24/7 AI Team | Dream, Chat, Create.",{"title":182,"list":183},"OPENAI",[184,191,199,206],{"id":185,"publish_date":167,"is_original":23,"collection":186,"cover_url":187,"cover_url_1_1":188,"title":189,"summary":190,"author":28},619,"#OpenAI #AI Image Generator #4o #MMM #AR Transformer","article_res/cover/2faffc97fcecf3151552cb0fd3206d89.jpeg","article_res/cover/1133cb4948af44cee2e7fbe79efb69e5.jpeg","The native image function of GPT-4o is officially launched","Introducing 4o Image Generation",{"id":192,"publish_date":193,"is_original":4,"collection":194,"cover_url":195,"cover_url_1_1":196,"title":197,"summary":198,"author":28},434,"2023-07-15","#Anthropic #OpenAI #Google #AI Code Generator #Claude","article_res/cover/e1b6f600a2b9f262a4392684e5f2ce25.jpeg","article_res/cover/6e1772e83f78f9a351ab23d3e414adee.jpeg","Latest Updates on Google Bard /Anthropic Claude2 / ChatGPT Code Interpreter","We want our models to use their programming skills to provide more natural interfaces to the basic functions of our computers.  \n - OpenAI",{"id":200,"publish_date":201,"is_original":4,"collection":146,"cover_url":202,"cover_url_1_1":203,"title":204,"summary":205,"author":28},417,"2023-08-24","article_res/cover/bccf897d50a88b18364e35f7466387e0.jpeg","article_res/cover/2f871085c1073717c1703ae86e18056f.jpeg","The GPT-3.5 Turbo fine-tuning (fine-tuning function) has been released～","Developers can now bring their own data to customize GPT-3.5 Turbo for their use cases.",{"id":207,"publish_date":208,"is_original":4,"collection":209,"cover_url":210,"cover_url_1_1":211,"title":212,"summary":213,"author":28},407,"2023-09-22","#OpenAI #AI Image Generator","article_res/cover/c59005e903d35cfc32346e2756e2728a.jpeg","article_res/cover/ba011d265e6d84b5c8cb6fd6b757b6cc.jpeg","Dall-E 3","DALL·E 3 understands significantly more nuance and detail, allowing you to easily translate your ideas into images.",[215,221,241],{"title":10,"list":216},[217,218,219,220],{"id":96,"publish_date":97,"is_original":23,"collection":98,"cover_url":99,"cover_url_1_1":100,"title":101,"summary":102,"author":28},{"id":104,"publish_date":105,"is_original":23,"collection":106,"cover_url":107,"cover_url_1_1":108,"title":109,"summary":110,"author":28},{"id":112,"publish_date":113,"is_original":23,"collection":114,"cover_url":115,"cover_url_1_1":116,"title":117,"summary":118,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"title":222,"list":223},"GOOGLE",[224,225,226,234],{"id":120,"publish_date":113,"is_original":23,"collection":121,"cover_url":122,"cover_url_1_1":123,"title":124,"summary":125,"author":28},{"id":166,"publish_date":167,"is_original":23,"collection":168,"cover_url":169,"cover_url_1_1":170,"title":171,"summary":172,"author":28},{"id":227,"publish_date":228,"is_original":23,"collection":229,"cover_url":230,"cover_url_1_1":231,"title":232,"summary":233,"author":28},615,"2025-03-30","#AI Researcher #AI Science #HKU #Google #AI Agent","article_res/cover/21fadf906067714bb0db31ae13a77c15.jpeg","article_res/cover/2697999a72bd26b22e85f0e92936d3ed.jpeg","AI-Researcher: LLM-driven全自动 scientific research assistant","AI-Researcher: Fully-Automated Scientific Discovery with LLM Agents  \nOpen-Sourced Alternative to Google AI Co-Scientist",{"id":235,"publish_date":236,"is_original":23,"collection":73,"cover_url":237,"cover_url_1_1":238,"title":239,"summary":240,"author":28},463,"2023-05-09","article_res/cover/89800f207723acdb55fc53bf999ebdc9.jpeg","article_res/cover/5764f369b4accd8f83e94aa4c077a175.jpeg","The Smallville sandbox world - A town with 25 virtual residents","Believable proxies of human behavior can empower interactive apps: Immersive environment, Rehearsal space, Prototyping tool",{"title":242,"list":243},"NVIDIA",[],true,{"code":4,"msg":5,"data":246},{"id":247,"publish_date":248,"is_original":23,"collection":249,"articles_id":250,"cover_url":251,"cover_url_1_1":252,"title":253,"summary":254,"author":28,"content":255,"popular":256,"list":323,"category":379,"tag":380},437,"2023-07-03","#AI Video Generator","-85LHusPMBMnxwX0f_RveA","article_res/cover/563dc38b306379275d420c24750a763d.jpeg","article_res/cover/c5c379fa097d64acce93795d447b73fb.jpeg","RERENDER A VIDEO - Maintain temporal coherence of global styles and local textures in videos.","This paper proposes a novel zero-shot text-guided video-to-video translation framework to adapt image models to videos.","\u003Cdiv class=\"rich_media_content js_underline_content\n                       autoTypeSetting24psection\n            \" id=\"js_content\">\u003Csection data-tool=\"mdnice编辑器\" data-website=\"https://www.mdnice.com\" style='font-size: 16px;color: black;padding: 0px 10px;line-height: 1.6;word-spacing: 0px;letter-spacing: 0px;word-break: break-word;overflow-wrap: break-word;text-align: left;font-family: Optima-Regular, Optima, PingFangSC-light, PingFangTC-light, \"PingFang SC\", Cambria, Cochin, Georgia, Times, \"Times New Roman\", serif;'>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">The paper I read today is \"Rerender A Video: Zero-Shot Text-Guided Video-to-Video Translation\".\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">https://arxiv.org/abs/2306.07954\u003C/p>\u003Csection>\u003Cdiv style=\"height: 508px; background: rgb(0, 0, 0); border-radius: 4px; overflow: hidden; margin-bottom: 12px;\">\u003Cvideo src=\"./assets/17434960046630.13593366179459232.mp4\" poster=\"./assets/17434960025230.40030799707848264.jpeg\" controls=\"\" style=\"width: 100%;height: 100%;\">\u003C/video>\u003C/div>\u003C/section>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">The code has not been open-sourced yet, but you can take a look at the paper first.\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">Large-scale text-to-image diffusion models have become quite good at generating high-quality images, such as Stable Diffusion which is increasingly being used by more people. However, when applying these models to the video domain, ensuring temporal consistency between video frames remains a significant challenge. The paper \"RERENDER A VIDEO: ZERO-SHOT TEXT-GUIDED VIDEO-TO-VIDEO TRANSLATION\" proposes a novel zero-shot text-guided video-to-video translation framework to adapt image models for videos.\u003C/p>\u003Csection>\u003Cdiv style=\"height: 508px; background: rgb(0, 0, 0); border-radius: 4px; overflow: hidden; margin-bottom: 12px;\">\u003Cvideo src=\"./assets/17434960043840.8035365898920594.mp4\" poster=\"./assets/17434960025480.861614206684209.jpeg\" controls=\"\" style=\"width: 100%;height: 100%;\">\u003C/video>\u003C/div>\u003C/section>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">The framework consists of two parts: keyframe translation and full video translation:\u003C/p>\u003Col data-tool=\"mdnice编辑器\" style=\"margin-top: 8px;margin-bottom: 8px;padding-left: 25px;color: black;list-style-type: decimal;\" class=\"list-paddingleft-1\">\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;text-align: left;color: rgb(1,1,1);font-weight: 500;\">An adapted diffusion model is used to generate keyframes, applying hierarchical cross-frame constraints to enforce coherence in shape, texture, and color.\u003C/section>\u003C/li>\u003Cli>\u003Csection style=\"margin-top: 5px;margin-bottom: 5px;line-height: 26px;text-align: left;color: rgb(1,1,1);font-weight: 500;\">Keyframes are propagated to other frames through time-sensitive patch matching and frame blending.\u003C/section>\u003C/li>\u003C/ol>\u003Csection>\u003Cdiv style=\"height: 508px; background: rgb(0, 0, 0); border-radius: 4px; overflow: hidden; margin-bottom: 12px;\">\u003Cvideo src=\"./assets/17434960047800.0827214691477336.mp4\" poster=\"./assets/17434960025220.41145382061880054.jpeg\" controls=\"\" style=\"width: 100%;height: 100%;\">\u003C/video>\u003C/div>\u003C/section>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">This framework achieves global style and local texture temporal consistency at low cost (without retraining or optimization). This adaptation is compatible with existing image diffusion techniques, allowing our framework to leverage them, such as using LoRA for customizing specific subjects and ControlNet for control. Extensive experimental results demonstrate that our proposed framework is more effective than existing methods in presenting high-quality and temporally coherent videos.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.3\" data-s=\"300,640\" data-type=\"jpeg\" data-w=\"1080\" style=\"\" src=\"./assets/17434960051660.8728245563167194.jpeg\">\u003C/p>\u003Cp data-tool=\"mdnice编辑器\" style=\"font-size: 16px;padding-top: 8px;padding-bottom: 8px;margin: 0;line-height: 26px;color: black;\">This article introduces a novel hierarchical cross-frame constraint for pre-trained image diffusion models to produce coherent video frames. Our key idea is to apply dense cross-frame constraints using optical flow, where previously rendered frames serve as low-level references for the current frame, while the first rendered frame acts as an anchor to regulate the rendering process and prevent deviation from the initial appearance. Hierarchical cross-frame constraints are implemented at different stages of diffusion sampling. In addition to global style consistency (cross-frame attention), our method enforces consistency in shape (shape-aware cross-frame latent fusion), texture (pixel-aware cross-frame latent fusion), and color (color-aware adaptive latent adjustment) at the early, middle, and late stages respectively. This innovative and lightweight modification achieves both global and local temporal consistency.\u003C/p>\u003Cp style=\"text-align: center;\">\u003Cimg class=\"rich_pages wxw-img\" data-galleryid=\"\" data-ratio=\"0.4351851851851852\" data-s=\"300,640\" data-type=\"png\" data-w=\"1080\" style=\"\" src=\"./assets/17434960054520.2718968786228242.png\">\u003C/p>\u003C/section>\u003Cp style=\"display: none;\">\u003Cmp-style-type data-value=\"3\">\u003C/mp-style-type>\u003C/p>\u003C/div>",[257,266,274,283,292,300,308,315],{"id":258,"title_md5":259,"publish_date":260,"author_md5":261,"is_original":23,"collection":262,"summary_md5":263,"cover_url":264,"cover_url_1_1":265},94,"ffa2e96c575160abcd0981661eecf829","2024-12-21","bc27fa490c4d0d525bac812fc0793534","#Google #o1 #LLM #Gemini","04264bc4564cbf0b145278708eb687e6","article_res/cover/0978cc05f28f10330ab5289902cf6003.jpeg","article_res/cover/e13e8d924455d80dda7fa1120a61b2d8.jpeg",{"id":267,"title_md5":268,"publish_date":269,"author_md5":270,"is_original":4,"collection":5,"summary_md5":271,"cover_url":272,"cover_url_1_1":273},566,"c595e3a12dab25c053b5bb15e3e1a463","2022-04-20","8b3607d0f4181a3cb6ffdccf7185f09b","8dd1a03a8286151a4ff2e45479dd39bd","article_res/cover/2d329b29aa46690ba8269e5d7a33c279.jpeg","article_res/cover/028d5977258f985de33693fdb192737f.jpeg",{"id":275,"title_md5":276,"publish_date":277,"author_md5":278,"is_original":4,"collection":279,"summary_md5":280,"cover_url":281,"cover_url_1_1":282},518,"1c95419dd273c1bd54726fbcb21eeb13","2022-06-09","7051dc52c184c205e39aa54b4664ae9b","#History","026e0ea21679a914b7798619bbdc5747","article_res/cover/8022bf025f4e15762f623ba4857dc97a.jpeg","article_res/cover/933fddd592bac3871c40aea757dba53b.jpeg",{"id":284,"title_md5":285,"publish_date":286,"author_md5":287,"is_original":4,"collection":288,"summary_md5":289,"cover_url":290,"cover_url_1_1":291},494,"5d3d36e14a770d14d93815d8342e074d","2023-03-31","9f3428c4d2d88afac6a16510d115e41c","#Stable Diffusion #AI Image Generator #AI Animation","0425328aca4c17b8e2d4488bc858f7ac","article_res/cover/2ed9abc93c2f7c0e03ed88eaf9ffdf45.jpeg","article_res/cover/bc44ad2ac95dcd39169b5baff3eca75e.jpeg",{"id":293,"title_md5":294,"publish_date":295,"author_md5":261,"is_original":23,"collection":296,"summary_md5":297,"cover_url":298,"cover_url_1_1":299},103,"2c83dcd6c5f48861059ee42586d60776","2024-12-12","#Google #World Model #Imagen3","81ffe9876e9913853eb5de58f493187a","article_res/cover/e2889002dd4efd8a4433cc81f758aa7b.jpeg","article_res/cover/421a27ada6186ffe28e04b664835d2d3.jpeg",{"id":301,"title_md5":302,"publish_date":303,"author_md5":261,"is_original":23,"collection":304,"summary_md5":305,"cover_url":306,"cover_url_1_1":307},114,"2d88b45ac3b8239a3dae10660774188c","2024-11-30","#SITUATIONAL AWARENESS #AGI","9c7b829b65e94f1905ab384712750bf4","article_res/cover/23af40c46a5942e4f50eb700282c82fa.jpeg","article_res/cover/2d8568027a8fe3c668db5c417f3035c0.jpeg",{"id":309,"title_md5":310,"publish_date":311,"author_md5":270,"is_original":4,"collection":5,"summary_md5":312,"cover_url":313,"cover_url_1_1":314},579,"eba17152c05fedea86519667716d3b9a","2022-04-07","b18a252cb6f957d22763a5558af752fd","article_res/cover/39387376ba28447af1eb40576b9df215.jpeg","article_res/cover/02727ede8551ed49901d0abe6d6305b7.jpeg",{"id":316,"title_md5":317,"publish_date":318,"author_md5":261,"is_original":23,"collection":319,"summary_md5":320,"cover_url":321,"cover_url_1_1":322},246,"f64b1c03cdcc0522b4a051af2822f9b5","2024-06-14","#AI Game","8b50e643a66c0ba17ef2a95608f33f5f","article_res/cover/bb761d6a72b8800406032d2cfadc1eca.jpeg","article_res/cover/d9e1cb5455d969e3e1392af062a8d9c1.jpeg",{"related":324,"small":364},[325,333,340,348,357],{"id":326,"publish_date":327,"is_original":23,"collection":328,"cover_url":329,"cover_url_1_1":330,"title":331,"summary":332,"author":28},354,"2024-01-01","#AI 3D Generator","article_res/cover/0b250d9d79d40b8e12e044afd6f69445.jpeg","article_res/cover/ec4b891fc3c3845b5316728c4eb80c61.jpeg","Paint3D: A unique technology for 3D model texture generation","Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models",{"id":334,"publish_date":335,"is_original":4,"collection":5,"cover_url":336,"cover_url_1_1":337,"title":338,"summary":339,"author":28},374,"2023-12-08","article_res/cover/f7c8858a8dbff747cd3955dcb59901ee.jpeg","article_res/cover/0cde3e4d28e238b5ff65eb8ea2ff6d4c.jpeg","LVM: Large Vision Model","Domain-Specific Large Vision Models (LVMs) - 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