3d
6 lessons tagged 3d: free, quiz-checked micro-lessons.
LiDAR and Point Clouds
How LiDAR fires pulses and measures time-of-flight to build a 3D point cloud; data structures, voxel downsampling, ICP registration, ground segmentation, and an honest comparison with cameras for robot perception.
Native 3D Generative Models: MeshGPT, Trellis, Hunyuan3D
The shift from 2D-lifting to native 3D generation. Autoregressive mesh transformers (MeshGPT, MeshAnything) and flow-matching latent models (Trellis, Hunyuan3D-2, TripoSG). Architectures, tokenization, conditioning, and which ones are actually usable in 2026.
From AI Mesh to Production-Ready Asset
What it takes to ship a generated mesh into a real game, AR app, or animation: topology cleanup, retopology, LODs, auto-rigging, and the 2026 platform landscape across Meshy, Tripo, Rodin, CSM and others.
How Image- and Text-to-3D Actually Works in 2026
The end-to-end production pipeline behind Meshy, Tripo, Rodin, and the open-source SOTA: multi-view diffusion, feed-forward reconstruction, mesh extraction, and the failure modes that still bite. Names the models, not just the concepts.
AI Texturing and PBR for Generated Meshes
How modern 3D generation paints a mesh after it's built. UV unwrapping, multi-view diffusion for texture, view-consistency, PBR map decomposition, and the workflow Meshy and Tripo expose to users in 2026.
The 3D Representation Zoo: Meshes, NeRFs, Gaussians, SDFs
A working map of the 3D representations that matter in 2026 — meshes, point clouds, voxels, SDFs, NeRFs, and 3D Gaussian Splatting. What each one is, when each wins, and why mesh output still anchors production pipelines.