The hottest 3D Modeling Substack posts right now

And their main takeaways
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Top Art & Illustration Topics

GM Shaders Guest: Gaming Engineer

GM Shaders Mini Tuts • 137 implied HN points • 18 Aug 23
🕹 Technology Gaming Graphics Game Development Shaders 3D Modeling
  1. Noah Pauw discusses creating advanced 3D graphics in GameMaker using shaders for real-time lighting and PBR materials.
  2. Game Maker is favored by Noah despite advice to switch to Unity or Unreal for photorealistic 3D games.
  3. Noah shares insights on using Blender for 3D modeling, creating lighting shaders, implementing PBR materials, and drawing 3D environments in Game Maker.

Can we digitally clone ourselves with AI?

Mythical AI • 98 implied HN points • 12 Jun 23
🕹 Technology AI Voice Cloning 3D Modeling Animation
  1. Creating a digital clone with AI involves capturing content, voice, likeness, and movement.
  2. Potential problems with AI clones include consent and ownership issues, problematic responses, and scams.
  3. There are tools available to create parts of an AI clone, but building a full AI clone is a complex process requiring integration of various technologies.

The Best Image-to-3D AI to date: Neuralangelo

What's AI Newsletter by Louis-François Bouchard • 39 implied HN points • 11 Jun 23
🕹 Technology AI 3D Modeling Artificial Intelligence
  1. Neuralangelo is NVIDIA's latest AI for turning images into realistic 3D scenes in seconds.
  2. Neuralangelo improves upon Instant NeRF by enhancing surface quality and adding finer details to the 3D models.
  3. Neuralangelo uses numerical gradients and an optimization process for smoother, more detailed 3D model reconstructions.
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How Far Are We From Being Able to Generate Whatever 3D Objects On the Fly?

I'll Keep This Short • 0 implied HN points • 17 Jul 23
🕹 Technology AI 3D Modeling Generative models Neural Networks Large Language Models
  1. AI-generated 3D objects are still far from being created instantly in real 3D
  2. Shap-E improves upon previous models by generating 3D objects using Neural Radiance Fields
  3. Although new technologies show promise, limitations like resource-intensive processes and lack of fine details still exist