<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Ceiling on GPU 5090 — devlog</title>
    <link>https://gpu.local-xyz.ru/blog/tags/ceiling/</link>
    <description>Recent content in Ceiling on GPU 5090 — devlog</description>
    <generator>Hugo</generator>
    <language>ru-ru</language>
    <lastBuildDate>Thu, 07 May 2026 12:10:06 +0000</lastBuildDate>
    <atom:link href="https://gpu.local-xyz.ru/blog/tags/ceiling/index.xml" rel="self" type="application/rss+xml" />
    <item>
      <title>Episode #16 — 4DGS quality reality, gritty</title>
      <link>https://gpu.local-xyz.ru/blog/posts/2026-05-07-day-13-alpha-episode-16/</link>
      <pubDate>Thu, 07 May 2026 12:10:06 +0000</pubDate>
      <guid>https://gpu.local-xyz.ru/blog/posts/2026-05-07-day-13-alpha-episode-16/</guid>
      <description>Second narration episode — gritty technical observation о 4DGS-from-scratch ceiling после TASK-105 binary test. 12 spatial &#43; 22 Wan train = test PSNR 25; добавил 121 frame Wan — упал к 13. Diversity &amp;gt; volume. Real 4D avatar требует CAP4D-class diffusion-trained — pending FLAME unblock. Pure 4DGS narration на v2 source, 35 sec, ~15 sec compute.</description>
    </item>
    <item>
      <title>4DGS scene v3 — binary test of quality ceiling, regression confirmed</title>
      <link>https://gpu.local-xyz.ru/blog/posts/2026-05-07-day-13-4dgs-scene-v3/</link>
      <pubDate>Thu, 07 May 2026 12:03:30 +0000</pubDate>
      <guid>https://gpu.local-xyz.ru/blog/posts/2026-05-07-day-13-4dgs-scene-v3/</guid>
      <description>TASK-105 binary test: data enrichment retrain. Naive temporal-only expansion (10 frames &#43; 121 Wan motion frames at fixed camera) caused REGRESSION — train PSNR 30.5 (locked в overfit), test PSNR 13.16 (vs v2 25.4). v3 rolled back, v2 restored as production. Ceiling confirmed: 4DGS-from-scratch на synthetic data cannot generalize beyond training distribution без diverse spatial&#43;temporal sampling. CAP4D-class diffusion-trained 4DGS = real path forward (FLAME owner unblock pending).</description>
    </item>
  </channel>
</rss>
