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keras2 commented on 4K4D: Real-Time 4D View Synthesis at 4K Resolution   zju3dv.github.io/4k4d/... · Posted by u/georgehill
calibas · 2 years ago
> we precompute the physical properties on the point clouds for real-time rendering. Although large in size (30 GiB for 0013_01), these precom- puted caches only reside in the main memory and are not explicitly stored on disk,

Does the cache size scale linearly with the length of the video? 0013_01 is only 150 frames. And how long does the cache take to generate?

keras2 · 2 years ago
Looks so, suspect the authors precomputed everything they can to reach the highest frame rate. Like predecoding all frames in a movie into raw pixels?

I think volumetric video should be thought of as a regular video, where the decoding and playback happen at the same time. A few papers down the line this could be easily implemented.

keras2 commented on 4K4D: Real-Time 4D View Synthesis at 4K Resolution   zju3dv.github.io/4k4d/... · Posted by u/georgehill
MBCook · 2 years ago
You want a killer app for VR/AR goggle style things? You’re right this would be amazing.

Apple demoed some kind of volumetric video to the press with the Vision Pro. There was a short clip of a concert and an NBA game (Nuggets?) among other things. I heard a number of people said it was like being there.

This is a step past that. Apple’s was recorded from some kind of special camera rig (I assume), but I seriously doubt it was full volumetric video from a large number of angles. It sounded more like volumetric video if you were stuck in a (very good) seat in the venue.

I’d be curious to know just how much horsepower it takes to play these back.

keras2 · 2 years ago
From the paper, it seems a 3060 is enough for 60FPS for the DNA-Rendering dataset. On the full-screen datasets it manages 25 fps. A 4090 might be needed to stay above 60 fps.

Still pretty heavy I’d say but it certainly came a long way and shows us real volumetric video is doable.

u/keras2

KarmaCake day4October 18, 2023View Original