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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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Luma AI releases Ray3 – 16bit HDR, reasoning video model
This is Ray3. The world’s first reasoning video model, and the first to generate studio-grade HDR. Now with an all-new Draft Mode for rapid iteration in creative workflows, and state of the art physics and consistency. Available now for free in Dream Machine.
Ray3’s native HDR delivers studio-grade fidelity. It generates video in 10, 12 & 16-bit high dynamic range with details in shadows and highlights in vivid color. Convert SDR to HDR, export EXR for seamless integration and unprecedented control in post-production workflows.
Reasoning enables Ray3 to understand nuanced directions, think in visuals and language tokens, and judge its generations to give you reliably better results. With Ray3 you can create more complex scenes, intricate multi-step motion, and do it all faster.
With reasoning, Ray3 can interpret visual annotations enabling creatives to now draw or scribble on images to direct performance, blocking, and camera movement. Refine motion, objects, and composition for precise visual control, all without prompting.
Draft Mode is a new way to iterate video ideas, fast. Explore ideas in a state of flow and get to your perfect shot. With Ray3’s new Hi-Fi diffusion pass, master your best shots into production-ready high-fidelity 4K HDR footage. 5x faster. 5x cheaper. 100x more fun.
Ray3 offers production-ready fidelity, high octane motion, preserved anatomy, physics simulations, world exploration, complex crowds, interactive lighting, caustics, motion blur, photorealism, and detail nuance, delivering visuals ready for high-end creative production pipelines.Ray3 is an intelligent video model designed to tell stories. Ray3 is capable of thinking and reasoning in visuals and offers state of the art physics and consistency. In a world’s first, Ray3 generates videos in 16bit High Dynamic Range color bringing generative video to pro studio pipelines.The all-new Draft Mode enables you to explore many more ideas, much faster and tell better stories than ever before.
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Weta Digital – Manuka Raytracer and Gazebo GPU renderers – pipeline
https://jo.dreggn.org/home/2018_manuka.pdf
http://www.fxguide.com/featured/manuka-weta-digitals-new-renderer/
The Manuka rendering architecture has been designed in the spirit of the classic reyes rendering architecture. In its core, reyes is based on stochastic rasterisation of micropolygons, facilitating depth of field, motion blur, high geometric complexity,and programmable shading.
This is commonly achieved with Monte Carlo path tracing, using a paradigm often called shade-on-hit, in which the renderer alternates tracing rays with running shaders on the various ray hits. The shaders take the role of generating the inputs of the local material structure which is then used bypath sampling logic to evaluate contributions and to inform what further rays to cast through the scene.
Over the years, however, the expectations have risen substantially when it comes to image quality. Computing pictures which are indistinguishable from real footage requires accurate simulation of light transport, which is most often performed using some variant of Monte Carlo path tracing. Unfortunately this paradigm requires random memory accesses to the whole scene and does not lend itself well to a rasterisation approach at all.
Manuka is both a uni-directional and bidirectional path tracer and encompasses multiple importance sampling (MIS). Interestingly, and importantly for production character skin work, it is the first major production renderer to incorporate spectral MIS in the form of a new ‘Hero Spectral Sampling’ technique, which was recently published at Eurographics Symposium on Rendering 2014.
Manuka propose a shade-before-hit paradigm in-stead and minimise I/O strain (and some memory costs) on the system, leveraging locality of reference by running pattern generation shaders before we execute light transport simulation by path sampling, “compressing” any bvh structure as needed, and as such also limiting duplication of source data.
The difference with reyes is that instead of baking colors into the geometry like in Reyes, manuka bakes surface closures. This means that light transport is still calculated with path tracing, but all texture lookups etc. are done up-front and baked into the geometry.The main drawback with this method is that geometry has to be tessellated to its highest, stable topology before shading can be evaluated properly. As such, the high cost to first pixel. Even a basic 4 vertices square becomes a much more complex model with this approach.
Manuka use the RenderMan Shading Language (rsl) for programmable shading [Pixar Animation Studios 2015], but we do not invoke rsl shaders when intersecting a ray with a surface (often called shade-on-hit). Instead, we pre-tessellate and pre-shade all the input geometry in the front end of the renderer.
This way, we can efficiently order shading computations to sup-port near-optimal texture locality, vectorisation, and parallelism. This system avoids repeated evaluation of shaders at the same surface point, and presents a minimal amount of memory to be accessed during light transport time. An added benefit is that the acceleration structure for ray tracing (abounding volume hierarchy, bvh) is built once on the final tessellated geometry, which allows us to ray trace more efficiently than multi-level bvhs and avoids costly caching of on-demand tessellated micropolygons and the associated scheduling issues.For the shading reasons above, in terms of AOVs, the studio approach is to succeed at combining complex shading with ray paths in the render rather than pass a multi-pass render to compositing.
For the Spectral Rendering component. The light transport stage is fully spectral, using a continuously sampled wavelength which is traced with each path and used to apply the spectral camera sensitivity of the sensor. This allows for faithfully support any degree of observer metamerism as the camera footage they are intended to match as well as complex materials which require wavelength dependent phenomena such as diffraction, dispersion, interference, iridescence, or chromatic extinction and Rayleigh scattering in participating media.
As opposed to the original reyes paper, we use bilinear interpolation of these bsdf inputs later when evaluating bsdfs per pathv ertex during light transport4. This improves temporal stability of geometry which moves very slowly with respect to the pixel raster
In terms of the pipeline, everything rendered at Weta was already completely interwoven with their deep data pipeline. Manuka very much was written with deep data in mind. Here, Manuka not so much extends the deep capabilities, rather it fully matches the already extremely complex and powerful setup Weta Digital already enjoy with RenderMan. For example, an ape in a scene can be selected, its ID is available and a NUKE artist can then paint in 3D say a hand and part of the way up the neutral posed ape.
We called our system Manuka, as a respectful nod to reyes: we had heard a story froma former ILM employee about how reyes got its name from how fond the early Pixar people were of their lunches at Point Reyes, and decided to name our system after our surrounding natural environment, too. Manuka is a kind of tea tree very common in New Zealand which has very many very small leaves, in analogy to micropolygons ina tree structure for ray tracing. It also happens to be the case that Weta Digital’s main site is on Manuka Street.
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Turn Yourself Into an Action Figure Using ChatGPT
ChatGPT Action Figure Prompts:
Create an action figure from the photo. It must be visualised in a realistic way. There should be accessories next to the figure like a UX designer have, Macbook Pro, a camera, drawing tablet, headset etc. Add a hole to the top of the box in the action figure. Also write the text “UX Mate” and below it “Keep Learning! Keep Designing
Use this image to create a picture of a action figure toy of a construction worker in a blister package from head to toe with accessories including a hammer, a staple gun and a ladder. The package should read “Kirk The Handy Man”
Create a realistic image of a toy action figure box. The box should be designed in a toy-equipment/action-figure style, with a cut-out window at the top like classic action figure packaging. The main color of the box and moleskine notebook should match the color of my jacket (referenced visually). Add colorful Mexican skull decorations across the box for a vibrant and artistic flair. Inside the box, include a “Your name” action figure, posed heroically. Next to the figure, arrange the following “equipment” in a stylized layout: • item 1 • item 2 … On the box, write: “Your name” (bold title font) Underneath: “Your role or anything else” The entire scene should look like a real product mockup, highly realistic, lit like a studio product photo. On the box, write: “Your name” (bold title font) Underneath: “Your role or description” The entire scene should look like a real product mockup, highly realistic, lit like a studio product photo. Prompt on Kling AI The figure steps out of its toy packaging and begins walking forward. As he continues to walk, the camera gradually zooms out in sync with his movement.
“Create image. Create a toy of the person in the photo. Let it be an action figure. Next to the figure, there should be the toy’s equipment, each in its individual blisters. 1) a book called “Tecnoforma”. 2) A 3-headed dog with a tag that says “Troika” and a bone at its feet with word “austerity” written on it. 3) a three-headed Hydra with with a tag called “Geringonça”. 4) a book titled “D. Sebastião”. Don’t repeat the equipment under any circumstance. The card holding the blister should be strong orange. Also, on top of the box, write ‘Pedro Passos Coelho’ and underneath it, ‘PSD action figure’. The figure and equipment must all be inside blisters. Visualize this in a realistic way.”
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Romain Chauliac – LightIt a lighting script for Maya and Arnold
LightIt is a script for Maya and Arnold that will help you and improve your lighting workflow.
Thanks to preset studio lighting components (lights, backdrop…), high quality studio scenes and HDRI library manager.https://www.artstation.com/artwork/393emJ