Learn all things Blender 3D with a focus on characters, animation, rigging, and motion graphics!
animations.dev
Learn the theory and practice behind great animations with this interactive learning experience.
"Psycho-material geographies" of 3D spaces, and The Beginner's Guide by Davey Wreden et al
https://www.blog.radiator.debacle.us/2015/10/the-beginners-guide-by-davey-wreden-et.html
Three.js From Zero — Creative Web 3D for Artists · MasterAllArts
Learn Three.js as part of the MasterAllArts creative 3D roadmap: turn drawings, models, shaders, and portfolio ideas into interactive Web 3D scenes. Free articles with live demos.
WorldClaw: Agentic 3D Open-World Generation at Scale
From one open-ended prompt to an explicit, explorable, and editable 3D world.
Whimsical Animations
Learn how to create charming interactions and delightful touches using the magic of CSS, JavaScript, SVG, and Canvas. I’m sharing all my tricks in this one!
Josh W. Comeau
Friendly tutorials for developers. Focus on React, CSS, Animation, and more!
RoboScape: Physics-informed Embodied World Model
World models have become indispensable tools for embodied intelligence, serving as powerful simulators capable of generating realistic robotic videos while addressing critical data scarcity challenges. However, current embodied world models exhibit limited physical awareness, particularly in modeling 3D geometry and motion dynamics, resulting in unrealistic video generation for contact-rich robotic scenarios. In this paper, we present RoboScape, a unified physics-informed world model that jointly learns RGB video generation and physics knowledge within an integrated framework. We introduce two key physics-informed joint training tasks: temporal depth prediction that enhances 3D geometric consistency in video rendering, and keypoint dynamics learning that implicitly encodes physical properties (e.g., object shape and material characteristics) while improving complex motion modeling. Extensive experiments demonstrate that RoboScape generates videos with superior visual fidelity and physical plausibility across diverse robotic scenarios. We further validate its practical utility through downstream applications including robotic policy training with generated data and policy evaluation. Our work provides new insights for building efficient physics-informed world models to advance embodied intelligence research. The code is available at: https://github.com/tsinghua-fib-lab/RoboScape.
I maintain a curated list of animation learning resources, links to handy sites, books, reference, etc. ninjadodo.net/animlinks.html
Animation Resources
www.ninjadodo.net
