High level tools to make the power of Geometry Nodes accessible to any user familiar with modifiers. The focus here is (opposite to builtin Geometry Nodes) to combine lots of options and functionality into one convenient package, that can be extended by editing the nodes, or integrating it into a node-setup, but is focused on being used without node editing.
Design: I started by generating cohesive concept images in Midjourney, with sleek white interiors with yellow accents to define the overall vibe.
Generate: Using World Labs, I transformed those images into fully explorable and persistent 3D environments in minutes.
Assemble: I cropped out doorways inside the Gaussian splats, then aligned and stitched multiple rooms together using PlayCanvas Supersplat, creating a connected spaceship layout.
Experience: Just a few hours later, I was walking through a custom interactive game level that started as a simple idea earlier that day.
“…any errors in the camera position solve can dramatically reduce the quality of a reconstruction. “
“Introducing CamP — a method to precondition camera optimization for NeRFs to significantly improve quality. With CamP we’re able to create high quality reconstructions even when input poses are bad. CamP is a general purpose trick that you can apply in many places. Apply CamP to prior SOTA NeRF models like Zip-NeRF, and you improve quality and establish a new SOTA. Applying CamP to existing camera optimization models, like SCNeRF, to improve their performance.” – Keunhong Park
“Simon Willison created a Datasette browser to explore WebVid-10M, one of the two datasets used to train the video generation model, and quickly learned that all 10.7 million video clips were scraped from Shutterstock, watermarks and all.”
“In addition to the Shutterstock clips, Meta also used 10 million video clips from this 100M video dataset from Microsoft Research Asia. It’s not mentioned on their GitHub, but if you dig into the paper, you learn that every clip came from over 3 million YouTube videos.”
“It’s become standard practice for technology companies working with AI to commercially use datasets and models collected and trained by non-commercial research entities like universities or non-profits.”
“Like with the artists, photographers, and other creators found in the 2.3 billion images that trained Stable Diffusion, I can’t help but wonder how the creators of those 3 million YouTube videos feel about Meta using their work to train their new model.”
An exposure stop is a unit measurement of Exposure as such it provides a universal linear scale to measure the increase and decrease in light, exposed to the image sensor, due to changes in shutter speed, iso and f-stop.
+-1 stop is a doubling or halving of the amount of light let in when taking a photo
1 EV (exposure value) is just another way to say one stop of exposure change.
Same applies to shutter speed, iso and aperture.
Doubling or halving your shutter speed produces an increase or decrease of 1 stop of exposure.
Doubling or halving your iso speed produces an increase or decrease of 1 stop of exposure.
