Use AI to make our own anime girl face
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嘉哲 張Use AI to make our own anime girl face. The document discusses using generative adversarial networks (GANs) to translate real human faces from the CelebA dataset into anime girl faces. Several GAN models were tested including CycleGAN, but results were noisy and inconsistent. Adding techniques like spectral normalization, cropped images, and noisy labels improved quality but outputs remained unstable. The goal is to generate high quality, stable anime girl face translations from real human inputs.
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This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
Columbus Data & Analytics Wednesdays - June 2024
Columbus Data & Analytics Wednesdays, June 2024 with Maria Copot 20
The Microsoft 365 Migration Tutorial For Beginner.pptx
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...Edge AI and Vision Alliance
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/how-axelera-ai-uses-digital-compute-in-memory-to-deliver-fast-and-energy-efficient-computer-vision-a-presentation-from-axelera-ai/
Bram Verhoef, Head of Machine Learning at Axelera AI, presents the “How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-efficient Computer Vision” tutorial at the May 2024 Embedded Vision Summit.
As artificial intelligence inference transitions from cloud environments to edge locations, computer vision applications achieve heightened responsiveness, reliability and privacy. This migration, however, introduces the challenge of operating within the stringent confines of resource constraints typical at the edge, including small form factors, low energy budgets and diminished memory and computational capacities. Axelera AI addresses these challenges through an innovative approach of performing digital computations within memory itself. This technique facilitates the realization of high-performance, energy-efficient and cost-effective computer vision capabilities at the thin and thick edge, extending the frontier of what is achievable with current technologies.
In this presentation, Verhoef unveils his company’s pioneering chip technology and demonstrates its capacity to deliver exceptional frames-per-second performance across a range of standard computer vision networks typical of applications in security, surveillance and the industrial sector. This shows that advanced computer vision can be accessible and efficient, even at the very edge of our technological ecosystem.Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Inconsistent user experience and siloed data, high costs, and changing customer expectations – Citizens Bank was experiencing these challenges while it was attempting to deliver a superior digital banking experience for its clients. Its core banking applications run on the mainframe and Citizens was using legacy utilities to get the critical mainframe data to feed customer-facing channels, like call centers, web, and mobile. Ultimately, this led to higher operating costs (MIPS), delayed response times, and longer time to market.
Ever-changing customer expectations demand more modern digital experiences, and the bank needed to find a solution that could provide real-time data to its customer channels with low latency and operating costs. Join this session to learn how Citizens is leveraging Precisely to replicate mainframe data to its customer channels and deliver on their “modern digital bank” experiences.
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Dmitrii Kamaev, PhD
Senior Product Owner - QIAGEN
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
Free A4 downloadable and printable Cyber Security, Social Engineering Safety and security Training Posters . Promote security awareness in the home or workplace. Lock them Out From training providers datahops.com
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
GNSS spoofing via SDR (Criptored Talks 2024)
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
JavaLand 2024: Application Development Green Masterplan
My presentation slides I used at JavaLand 2024
Recently uploaded (20)
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
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Public CyberSecurity Awareness Presentation 2024.pptx
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The Microsoft 365 Migration Tutorial For Beginner.pptx
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Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
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GraphRAG for Life Science to increase LLM accuracy
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Presentation of the OECD Artificial Intelligence Review of Germany
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“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
Digital Banking in the Cloud: How Citizens Bank Unlocked Their Mainframe
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Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
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Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
JavaLand 2024: Application Development Green Masterplan
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Use AI to make our own anime girl face
- 1. Use AI to make our own anime girl face Chia-Che (Mike) Chang https://www.sli.do/SITCON18-S02
- 2. Hubert Lin 功德做盡力竭身亡 Yu-Chun (Howard) LoChia-Che (Mike) Chang 天下妹子皆我朋友
- 3. Outline • Machine learning in the real life • Generative adversarial networks (GAN) • Use AI to make our own anime girl face • Reference
- 4. Machine learning in the movies [Source: Machine Learning Lec1,Da-Cheng Juan]
- 5. Machine learning in real life • Siri • Amazon Echo • Self-Driving Car • Face Recognition • etc. [Source: DeepFace: Closing the Gap to Human-Level Performance in Face Verification]
- 7. What can we do with AI?
- 8. What can we do with AI?
- 9. What can we do with AI?
- 10. What can we do with AI?
- 11. What can we do with AI? [Source: http://violet-evergarden.jp/]
- 12. GAN
- 17. Use AI to make our own anime girl face
- 18. • CelebA [Real human image] • 202599 images • Resolution: 170x170 • [Anime girl image] • 3589 images • Resolution: 250x300 • Collected by ourselves Dataset
- 19. 1. Recognize face 2. Center crop 3. Resize to 256x256 1. Directly center crop 2. Resize to 256x256 Dataset
- 20. 3 eyes Failed cropping Weird accessories Multiple people Dataset
- 21. CycleGAN
- 22. CycleGAN
- 23. CycleGAN
- 24. CycleGAN • The results are bad and noisy.
- 25. CycleGAN • The results are bad and noisy. Inconsistence weird eyes Inconsistence
- 26. + Cropped Images • Better quality, but outputs are still unstable and noisy.
- 27. + Spectral Normalization • Better quality
- 28. + Noisy Label
- 29. + Noisy Label
- 30. + FisherGAN
- 31. + FisherGAN
- 32. + FisherGAN
- 34. Reference • Paper • Generative Adversarial Networks • Image-to-Image Translation with Conditional Adversarial Nets • Unpaired Image-to-Image Translation using Cycle- Consistent Adversarial Networks • Least Squares Generative Adversarial Networks • Spectral Normalization for Generative Adversarial Networks • Fisher GAN • Dataset • CelebA: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html • Anime girl: http://www.getchu.com/
- 35. Thanks for your listening! These are our team members :)