RANDOM POSTs
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LuxCore – Open Source, Physically Based Renderer for Blender
Read more: LuxCore – Open Source, Physically Based Renderer for BlenderNote: Although the original LuxRender is a full spectral renderer, the new LuxCoreRender drops full spectral rendering in favor of simulating spectral dispersion when required.[14][15] However, this leads to some inaccuracies when rendering caustics in some circumstances.[16]
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PixVerse – Prompt, lypsync and extended video generation
Read more: PixVerse – Prompt, lypsync and extended video generationhttps://app.pixverse.ai/onboard
PixVerse now has 3 main features:
text to video➡️ How To Generate Videos With Text Promptsimage to video➡️ How To Animate Your Images And Bring Them To Lifeupscale➡️ How to Upscale Your Video
Enhanced Capabilities
– Improved Prompt Understanding: Achieve more accurate prompt interpretation and stunning video dynamics.
– Supports Various Video Ratios: Choose from 16:9, 9:16, 3:4, 4:3, and 1:1 ratios.
– Upgraded Styles: Style functionality returns with options like Anime, Realistic, Clay, and 3D. It supports both text-to-video and image-to-video stylization.New Features
– Lipsync: The new Lipsync feature enables users to add text or upload audio, and PixVerse will automatically sync the characters’ lip movements in the generated video based on the text or audio.
– Effect: Offers 8 creative effects, including Zombie Transformation, Wizard Hat, Monster Invasion, and other Halloween-themed effects, enabling one-click creativity.
– Extend: Extend the generated video by an additional 5-8 seconds, with control over the content of the extended segment.
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VES – How Generative AI Might Affect VFX Now and In the Future
Read more: VES – How Generative AI Might Affect VFX Now and In the FuturePanelists include Author and Distinguished Research Scientist in DL/ML & CG at Wētā FX Dr. Andrew Glassner, VFX, Post & Technology Recruiter and VES 1st Vice Chair Susan O’Neal, CTO at Cinesite Group and VES Technology Committee member Michele Sciolette and Shareholder & Co-Chair of Buchalter’s Entertainment Industry Group and Adjunct Professor at Southwestern Law School Stephen Strauss, moderated by VES Technology Committee member and Media & Entertainment Executive, CTO & Industry Advisor Barbara Ford Grant.
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2DGS – 2D Gaussian Splatting for Geometrically Accurate Radiance Fields
Read more: 2DGS – 2D Gaussian Splatting for Geometrically Accurate Radiance FieldsA 2D Gaussian Splats technique for extracting cleaner 3D geometry from 3DGS
https://github.com/hbb1/2d-gaussian-splatting
https://surfsplatting.github.io/
https://colab.research.google.com/drive/1qoclD7HJ3-o0O1R8cvV3PxLhoDCMsH8W
3D Gaussian Splatting (3DGS) has recently revolutionized radiance field reconstruction, achieving high quality novel view synthesis and fast rendering speed without baking. However, 3DGS fails to accurately represent surfaces due to the multi-view inconsistent nature of 3D Gaussians. We present 2D Gaussian Splatting (2DGS), a novel approach to model and reconstruct geometrically accurate radiance fields from multi-view images. Our key idea is to collapse the 3D volume into a set of 2D oriented planar Gaussian disks. Unlike 3D Gaussians, 2D Gaussians provide view-consistent geometry while modeling surfaces intrinsically. To accurately recover thin surfaces and achieve stable optimization, we introduce a perspective-accurate 2D splatting process utilizing ray-splat intersection and rasterization. Additionally, we incorporate depth distortion and normal consistency terms to further enhance the quality of the reconstructions. We demonstrate that our differentiable renderer allows for noise-free and detailed geometry reconstruction while maintaining competitive appearance quality, fast training speed, and real-time rendering.
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Mars Lewis on the Brandolini’s Law
Read more: Mars Lewis on the Brandolini’s LawBrandolini’s law (or the bullshit asymmetry principle) is an internet adage coined in 2013 by Italian programmer Alberto Brandolini. It compares the considerable effort of debunking misinformation to the relative ease of creating it in the first place.
The law states: “The amount of energy needed to refute bullshit is an order of magnitude bigger than to produce it.”
https://en.wikipedia.org/wiki/Brandolini%27s_law
This is why every time you kill a lie, it feels like nothing changed. It’s why no matter how many facts you post, how many sources you cite, how many receipts you show—the swarm just keeps coming. Because while you’re out in the open doing surgery, the machine is behind the curtain spraying aerosol deceit into every vent.
The lie takes ten seconds. The truth takes ten paragraphs. And by the time you’ve written the tenth, the people you’re trying to reach have already scrolled past.
Every viral deception—the fake quote, the rigged video, the synthetic outrage—takes almost nothing to create. And once it’s out there, you’re not just correcting a fact—you’re prying it out of someone’s identity. Because people don’t adopt lies just for information. They adopt them for belonging. The lie becomes part of who they are, and your correction becomes an attack.
And still—you must correct it. Still, you must fight.
Because even if truth doesn’t spread as fast, it roots deeper. Even if it doesn’t go viral, it endures. And eventually, it makes people bulletproof to the next wave of narrative sewage.
You’re not here to win a one-day war. You’re here to outlast a never-ending invasion.
The lies are roaches. You kill one, and a hundred more scramble behind the drywall.The lies are Hydra heads. You cut one off, and two grow back. But you keep swinging anyway.
Because this isn’t about instant wins. It’s about making the cost of lying higher. It’s about being the resistance that doesn’t fold. You don’t fight because it’s easy. You fight because it’s right.
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Jim Carrey Motivational speech
Read more: Jim Carrey Motivational speechhttps://www.youtube.com/watch?v=YAzTIOy0ID0
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ComfyUI FLOAT – A container for FLOAT Generative Motion Latent Flow Matching for Audio-driven Talking Portrait – lip sync
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