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Streaming Radiance Fields for 3D Video Synthesis

NeurIPS 2022 · 3D vision › NeRF and radiance fields · approach: Single-view and streaming radiance fields · 25 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
use incremental narrow-band tuning instead of per-frame Plenoxels trainingPlenoxels · N3DVtrain time per frame (min): 23 -> 0.25Helped
use incremental narrow-band tuning instead of per-frame Plenoxels trainingPlenoxels · N3DVPSNR (dB): 28.68 -> 28.26Hurt
use incremental narrow-band tuning instead of per-frame Plenoxels trainingPlenoxels · Meet Roomstorage per frame (MB): 1015 -> 5.7/9.0Helped
add difference-based compression (ablation)StreamRF · Meet Roomstorage per frame (MB): 1015 MB -> 5.7 MBHelped
add difference-based compression (ablation)StreamRF · Meet RoomPSNR: decrease 0.156 in averageNo clear effect
tune with narrow band instead of dense grid (ablation)StreamRF · Meet Roomtraining cost: around 40% faster, 63% less memoryHelped
tune with narrow band instead of sparse or dense grid (ablation)StreamRF · Meet RoomPSNR across framesHelped
add pilot model guidance instead of lengthening full-scale training (ablation)StreamRF · N3DV and Meet Roomvisual quality (artifacts)Helped
use SH threshold, float16 and zlib stages (ablation)diff compression · Meet Roomstorage per frame (MB): 1481.5 -> 5.7Helped

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