Google develops Zip-NeRF: a faster and more efficient way to create 3D images

Google researchers have unveiled a new model called Zip-NeRF, which is a combination of Instant Models and Mip-NeRF.

The researchers were able to combine the advantages of Instant Models, which can create 3D images several times faster than standard NeRF, with their Mip-NeRF algorithm in short. Mip-NeRF can create very detailed synthetic panoramas, but it takes the model several hours.

However, it requires a large amount of resources, including 8 Nvidia Tesla V100-SXM2-16 GB GPUs, which are quite expensive.

Zip-NeRF has potential applications in the creation of immersive photo albums and other forms of visual media. While the high resource requirement makes it challenging for widespread use, the model's speed and quality suggest that it could become a standard tool in 3D imaging and visualization in the future.

Google's development of Zip-NeRF represents a significant advance in the field of 3D modeling and visual storytelling, and may pave the way for new and innovative applications of this technology.