Lawrence Du Seattle Final
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The document discusses using deep convolutional generative adversarial networks (DCGANs) to generate pixel art in order to reduce the high costs of creating art assets for mobile games. It describes how a DCGAN was trained on a dataset of over 19,000 Pokémon sprites to generate new pixel art monsters. The DCGAN model was implemented using Python and tested on various neural network architectures to generate the pixel art, with training taking 20-30 minutes on a GPU. The generated pixel art could potentially be used to reduce art asset costs for mobile games.
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LarsDu_Final
The document discusses using deep convolutional generative adversarial networks (DCGANs) to generate pixel art in order to reduce the high costs of creating art assets for mobile games. It describes how a DCGAN was trained on a dataset of over 19,000 Pokémon frames to generate new pixel art monsters, and how this model was implemented on a website for users to test. Additional applications mentioned include using AI-generated pixel art for stickers in messaging apps.
Benoit fouletier guillaume martin unity day- modern 2 d techniques-gce2014
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LarsDu_Final
The document discusses using deep convolutional generative adversarial networks (DCGANs) to generate pixel art in order to reduce the high costs of creating art assets for mobile games. It describes how a DCGAN was trained on a dataset of over 19,000 Pokémon frames to generate new pixel art monsters, and how this model was implemented on a website for users to test. Additional applications mentioned include using AI-generated pixel art for stickers in messaging apps.
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The tools and techniques developed to reach that ambitious goal will be presented, from the innovative animation system, the terrain, vegetation and level art system, to the effective but powerful rendering model, and more.
Intended audience & prerequisites: Anyone working on a 2D game: programmers, animators, level designers, level artists.
The talk will be of particular interest to teams using Unity, but rather than being purely technical, the talk will outline principles that can be applied in any engine.
Session takeaway: I believe 2D has a great future ahead of her, and that we can do much more with it. I intend to demonstrate how to improve the production pipeline, and invest in tools to become more technical the way 3D does, while retaining the unique advantages of 2D.
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Rayman Origins (Ubisoft Montpellier)
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For more information visit:
http://www.pixel-lab.co.uk
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LarsDuFinal
The document discusses using deep convolutional generative adversarial networks (DCGANs) to generate pixel art in order to reduce the high costs of creating art assets for mobile games. It describes how a DCGAN was trained on a dataset of over 19,000 Pokémon frames to generate new pixel art monsters, and how this model was implemented on a website for users to test. Additional applications mentioned include using AI-generated pixel art for stickers in messaging apps.
Lawrence Du week4 slides
A deep convolutional generative adversarial network (DCGAN) was proposed to generate pixel art to assist in creating art for mobile apps in a cost-effective manner. The DCGAN was trained on a dataset of 19,231 Pokémon animation frames to learn the style of pixel art. It consists of a generator network that produces new images and a discriminator network that evaluates them for realism. Through training the networks play an adversarial game that improves the generator's ability to produce highly realistic generated images resembling the training data. The DCGAN was able to produce new pixel art in the style of Pokémon characters to potentially assist in creating large volumes of sticker art for mobile apps.
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This one PPT created for Submission of my Practical of my graduation in Bsc computer science (BCS) 2nd year in The college Yashwant collge of IT Parbhani Maharashtra 431401..
Keep it up....
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This document discusses semantic image segmentation with deep learning. It begins by defining semantic segmentation as classifying each pixel in an image. Convolutional neural networks (CNNs) can be used for pixel-wise prediction but do not capture spatial context. Conditional random fields (CRFs) can model contextual information but are typically applied as a post-processing step. The document proposes a method called CRF-RNN that integrates CRFs into CNNs by treating mean-field inference as a recurrent neural network. This allows end-to-end training and improves results over applying CRFs as a post-processing step. Examples of semantic segmentation results on various images are shown along with challenges in segmenting certain images.
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Deep learning techniques ignited a great progress in many computer vision tasks like image classification, object detection, and segmentation. Almost every month a new method is published that achieves state-of-the-art result on some common benchmark dataset. In addition to that, DL is being applied to new problems in CV.
In the talk we’re going to focus on DL application to image segmentation task. We want to show the practical importance of this task for the fashion industry by presenting our case study with results achieved with various attempts and methods.
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Next, there's a discussion of the various state-of-the-art frameworks being used to implement CNNs to tackle real-world classification and regression problems.
Finally, the implementation of the CNNs is demonstrated by implementing the paper 'Age ang Gender Classification Using Convolutional Neural Networks' by Hassner (2015).
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LarsDuFinal
The document discusses using deep convolutional generative adversarial networks (DCGANs) to generate pixel art in order to reduce the high costs of creating art assets for mobile games. It describes how a DCGAN was trained on a dataset of over 19,000 Pokémon frames to generate new pixel art monsters, and how this model was implemented on a website for users to test. Additional applications mentioned include using AI-generated pixel art for stickers in messaging apps.
Lawrence Du week4 slides
A deep convolutional generative adversarial network (DCGAN) was proposed to generate pixel art to assist in creating art for mobile apps in a cost-effective manner. The DCGAN was trained on a dataset of 19,231 Pokémon animation frames to learn the style of pixel art. It consists of a generator network that produces new images and a discriminator network that evaluates them for realism. Through training the networks play an adversarial game that improves the generator's ability to produce highly realistic generated images resembling the training data. The DCGAN was able to produce new pixel art in the style of Pokémon characters to potentially assist in creating large volumes of sticker art for mobile apps.
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The presentation provides an overview of the Kinect system, including its history, technology, and capabilities. It describes how Kinect uses structured light and machine learning to map depth and infer body position without any handheld controllers. Kinect launched in 2010 and quickly became the fastest selling consumer electronics device by selling 8 million units in its first 60 days. The technology represents significant advances in computer vision that enable natural user interfaces for gaming and beyond.
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Energy Efficient Video Encoding for Cloud and Edge Computing Instances
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdf
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Choosing The Best AWS Service For Your Website + API.pptx
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
HCL Notes and Domino License Cost Reduction in the World of DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Fueling AI with Great Data with Airbyte Webinar
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.
AWS Cloud Cost Optimization Presentation.pptx
This presentation provides valuable insights into effective cost-saving techniques on AWS. Learn how to optimize your AWS resources by rightsizing, increasing elasticity, picking the right storage class, and choosing the best pricing model. Additionally, discover essential governance mechanisms to ensure continuous cost efficiency. Whether you are new to AWS or an experienced user, this presentation provides clear and practical tips to help you reduce your cloud costs and get the most out of your budget.
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
This case study explores designing a scalable e-commerce platform, covering key requirements, system components, and best practices.
Monitoring and Managing Anomaly Detection on OpenShift.pdf
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
Generating privacy-protected synthetic data using Secludy and Milvus
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Azure API Management to expose backend services securely
How to use Azure API Management to expose backend service securely
dbms calicut university B. sc Cs 4th sem.pdf
Its a seminar ppt on database management system using sql
A Comprehensive Guide to DeFi Development Services in 2024
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Trusted Execution Environment for Decentralized Process Mining
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
TrustArc Webinar - 2024 Global Privacy Survey
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
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Lawrence Du Seattle Final
- 1. Deep Convolutional Generative Adversarial Networks (DCGANs) for Creating Pixel Art Lawrence Du
- 2. Creating art for mobile apps takes skill and money
- 3. Problem: The Costs of Making Art for Indie/Mobile Games Total cost of adding one new character: $109,000 Artwork cost: $30,000
- 4. Problem: The Costs of Making Art for Indie/Mobile Games Total cost of adding one new character: $109,000 Artwork cost: $30,000
- 5. Deep Learning for AI assisted art generation Fake pictures of bedrooms created by deep neural network
- 6. One franchise built around pixel art... Pokémon Red (released 1998)
- 7. Using Pokémon as a training set ● 64 x 64 x 3 pixels = 12,228 features per image ● 700+ Unique Pokémon ● 76,000+ animation frames
- 8. Feature engineering with images ● database used for eliminating shape outliers ● 231 Pokémon selected (19,231 frames) ● Expansion of training set size: ○ Brightness ○ Hue ○ Contrast ○ Left-right transformations.
- 9. Feature engineering with images ● database used for eliminating outliers ● 231 Pokémon selected (19,231 frames) ● Expansion of training set size: ○ Brightness ○ Hue ○ Contrast ○ Left-right transformations.
- 10. Feature engineering with images ● database used for eliminating outliers ● 231 Pokémon selected (19,231 frames) ● Expansion of training set size: ○ Brightness ○ Hue ○ Contrast ○ Left-right transformations.
- 11. DEMO www.DeepPixelMonster.com (TRY IT YOURSELF) Alternate link: http://76.176.145.160:5000/
- 12. Implementation ● Written using ● 30+ neural architecture combinations tested. ● Training takes 20-30 minutes on GPU ● Front-end Python ● Amazon AWS
- 18. ● LINE messenger - $238 million on stickers in 2015 ● Easier to send a sticker than to write Chinese characters (kanji) Additional use cases for AI pixel art
- 19. Lawrence Du larrydu88@gmail.com PhD Biological Sciences (UC San Diego)
- 20. Solution: Use Deep Learning for AI assisted art generation AI generated music album covers