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DreamWorks Animation to Release MoonRay as Open Source
https://www.awn.com/news/dreamworks-animation-release-moonray-open-source
MoonRay is DreamWorks’ open-source, award-winning, state-of-the-art production MCRT renderer, which has been used on feature films such as How to Train Your Dragon: The Hidden World, Trolls World Tour, The Bad Guys, the upcoming Puss In Boots: The Last Wish, as well as future titles. MoonRay was developed at DreamWorks and is in continuous active development and includes an extensive library of production-tested, physically based materials, a USD Hydra render delegate, multi-machine and cloud rendering via the Arras distributed computation framework.
Note: it does not support osl and usd handling is limited. Cycles may still be a fair alternative.
EDIT
MoonRay review: DreamWorks Animations’ superb rendering software is free for all
A high-performance Monte Carlo ray tracer that’s capable of both DreamWorks’ trademark stylised look and photorealism.
It has all the required features for that setup, including Arbitrary Output Variables (AOVs), which allow data from a shader or renderer to be output during rendering to aid compositing. Additionally, Deep Output and Cryptomatte are supported.
With support for OptiX 7.6 and GPU render denoising with Open Image Denoise 2, MoonRay is able to deliver particularly impressive results, especially when working interactively.
MoonRay has moved to a hybrid CPU and GPU rendering mode for its default state. It’s called XPU, and in many ways combines the best of both types of rendering workflow.
VFX Reference Platform 2023 is probably the biggest addition because it enables the use of MoonRay directly in Nuke 15.
MoonRay has already achieved great success with an array of feature films. Now the renderer is open source, the CG world can expect to see a whole new swathe of MoonRay-powered animations.
For
- Features for VFX workflows
- Open source
- XPU rendering
Against
- Designed for big studios
- Steep learning curve
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Flair.ai – The AI design tool for product photography
With an intuitive, user-friendly interface and a powerful AI engine, Flair AI can generate high-quality product photoshoots in seconds.
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EasyFrontend | 700+ Free UI Web Components with Code Editor
EasyFrontend offers a collection of UI Components, Blocks, and Sections built with HTML, React, Bootstrap, and Tailwind CSS to enable you to make a site in minutes. -
DocRes – Document and scans Image Restoration
DocRes is a new model that simplifies document image restoration by handling five tasks: dewarping, deshadowing, appearance enhancement, deblurring, and binarization within a single system.
https://github.com/zzzhang-jx/docres
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Microsoft Working on ‘Far Larger’ In-House AI Model
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Apple launches Final Cut Camera app to support multicam productions
https://www.theverge.com/2024/5/7/24151109/apple-final-cut-camera-app-support-multicam-ipad
Apple has released Final Cut Camera for iPhone and iPad, allowing filmmakers to take video and stream it live back to an iPad for a multicam shoot. The updated Final Cut 2 app allows users to can control each Final Cut Camera-running device connected to it with a multiscreen view. Users can switch between production and editing anytime to live-cut their projects in the new version.
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The 3 Body Problem and the case against Determinism
It’s becoming clear that deterministic physics cannot easily answer all aspects of nature, at astronomical and biological level.
Is this a limitation in modern mathematics and/or tools. Or an actual barrier?The 𝐓𝐡𝐫𝐞𝐞-𝐁𝐨𝐝𝐲 𝐏𝐫𝐨𝐛𝐥𝐞𝐦 is one of the most enduring challenges in celestial mechanics, addressing the complex motion of three celestial bodies interacting under gravity. Governed by Newton’s laws of motion and the law of universal gravitation, it seeks to predict the paths of the bodies based on their masses, positions, and velocities. While the Two-Body Problem has exact solutions described by Kepler’s laws, introducing a third body leads to a nonlinear system of equations with no general analytical solution. This complexity arises from the chaotic interactions between the bodies, where even minute changes in initial conditions can lead to vastly different trajectories—a key aspect of chaos theory.
Historically, the Three-Body Problem has fascinated some of the greatest scientific minds. Isaac Newton laid its foundation, but it was Joseph-Louis Lagrange and Leonhard Euler who discovered specific cases with periodic or predictable solutions. Lagrange identified the Lagrange points, stable positions where the gravitational forces and motion of the three bodies balance, while Euler found collinear solutions, where the bodies align on a single line periodically. These solutions, though special cases, have profound implications for space exploration, such as identifying stable regions for satellites orbits.
Despite the chaotic nature of the Three-Body Problem, researchers have discovered periodic solutions where the bodies follow repetitive paths, returning to their original positions after a fixed time. In the 1970s, Michel Hénon, Roger A. Broucke, and George Hadjidemetriou identified a fascinating family of such solutions, now known as the Broucke–Hénon–Hadjidemetriou family. These solutions often involve symmetric and elegant trajectories, such as the figure-eight orbit, where three equal-mass bodies chase each other along a shared path resembling the number eight.
Other periodic solutions include equilateral triangle configurations (where the bodies maintain a triangular shape while rotating or oscillating) and collinear periodic orbits (where the bodies periodically align and reverse directions). These solutions highlight the intricate balance between gravitational forces and motion, offering glimpses of stability within the chaos.
While the Three-Body Problem laid the groundwork for understanding gravitational interactions, the study of higher n-body problems reveals the rich and chaotic dynamics of larger systems, offering critical insights into both cosmic structures and practical applications like orbital dynamics. -
James Gerde – The way the leaves dance in the rain
https://www.instagram.com/gerdegotit/reel/C6s-2r2RgSu/
Since spending a lot of time recently with SDXL I’ve since made my way back to SD 1.5
While the models overall have less fidelity. There is just no comparing to the current motion models we have available for animatediff with 1.5 models.
To date this is one of my favorite pieces. Not because I think it’s even the best it can be. But because the workflow adjustments unlocked some very important ideas I can’t wait to try out.
Performance by @silkenkelly and @itxtheballerina on IG
FEATURED POSTS
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The Perils of Technical Debt – Understanding Its Impact on Security, Usability, and Stability
In software development, “technical debt” is a term used to describe the accumulation of shortcuts, suboptimal solutions, and outdated code that occur as developers rush to meet deadlines or prioritize immediate goals over long-term maintainability. While this concept initially seems abstract, its consequences are concrete and can significantly affect the security, usability, and stability of software systems.
The Nature of Technical Debt
Technical debt arises when software engineers choose a less-than-ideal implementation in the interest of saving time or reducing upfront effort. Much like financial debt, these decisions come with an interest rate: over time, the cost of maintaining and updating the system increases, and more effort is required to fix problems that stem from earlier choices. In extreme cases, technical debt can slow development to a crawl, causing future updates or improvements to become far more difficult than they would have been with cleaner, more scalable code.
Impact on Security
One of the most significant threats posed by technical debt is the vulnerability it creates in terms of software security. Outdated code often lacks the latest security patches or is built on legacy systems that are no longer supported. Attackers can exploit these weaknesses, leading to data breaches, ransomware, or other forms of cybercrime. Furthermore, as systems grow more complex and the debt compounds, identifying and fixing vulnerabilities becomes increasingly challenging. Failing to address technical debt leaves an organization exposed to security risks that may only become apparent after a costly incident.
Impact on Usability
Technical debt also affects the user experience. Systems burdened by outdated code often become clunky and slow, leading to poor usability. Engineers may find themselves continuously patching minor issues rather than implementing larger, user-centric improvements. Over time, this results in a product that feels antiquated, is difficult to use, or lacks modern functionality. In a competitive market, poor usability can alienate users, causing a loss of confidence and driving them to alternative products or services.
Impact on Stability
Stability is another critical area impacted by technical debt. As developers add features or make updates to systems weighed down by previous quick fixes, they run the risk of introducing bugs or causing system crashes. The tangled, fragile nature of code laden with technical debt makes troubleshooting difficult and increases the likelihood of cascading failures. Over time, instability in the software can erode both the trust of users and the efficiency of the development team, as more resources are dedicated to resolving recurring issues rather than innovating or expanding the system’s capabilities.
The Long-Term Costs of Ignoring Technical Debt
While technical debt can provide short-term gains by speeding up initial development, the long-term costs are much higher. Unaddressed technical debt can lead to project delays, escalating maintenance costs, and an ever-widening gap between current code and modern best practices. The more technical debt accumulates, the harder and more expensive it becomes to address. For many companies, failing to pay down this debt eventually results in a critical juncture: either invest heavily in refactoring the codebase or face an expensive overhaul to rebuild from the ground up.
Conclusion
Technical debt is an unavoidable aspect of software development, but understanding its perils is essential for minimizing its impact on security, usability, and stability. By actively managing technical debt—whether through regular refactoring, code audits, or simply prioritizing long-term quality over short-term expedience—organizations can avoid the most dangerous consequences and ensure their software remains robust and reliable in an ever-changing technological landscape.