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arXiv Computer Vision By Ka Heng Shiu, Kartic Subr

ABCD: Alpha-Composited Block Coordinate Descent: Constant-VRAM Training for Large Radiance Fields

Read the original on arXiv Computer Vision →

ABCD (Alpha‑Composited Block Coordinate Descent) is an out‑of‑core training framework for alpha‑composited radiance fields, demonstrated on 3D Gaussian Splatting. It reformulates training as block coordinate descent over spatial partitions, keeping only one block of parameters active while pre‑rendering and collapsing inactive regions into foreground and background RGBA images. This approach reduces peak VRAM usage to a constant with respect to scene size, enabling training on GPUs with limited memory while maintaining reconstruction quality within 5% PSNR of 3DGS.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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