Анализ методов параметрического описания воксельных кубиков#2
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netkeep80 merged 3 commits intonetkeep80:mainfrom Jan 28, 2026
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Анализ методов параметрического описания воксельных кубиков#2netkeep80 merged 3 commits intonetkeep80:mainfrom
netkeep80 merged 3 commits intonetkeep80:mainfrom
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Adding CLAUDE.md with task information for AI processing. This file will be removed when the task is complete. Issue: netkeep80#1
This analysis document covers five different approaches for parametric description and generation of voxel cubes: 1. 3D FFT/Spectral RGBA approach - ideal boundary stitching, energy-based physics, but computationally expensive 2. Cubic Fractal Trees - excellent performance and procedural generation, but weaker boundary continuity 3. Parametric functions with gradients and noise - best balance of performance and control, recommended for MVP 4. SDF (Signed Distance Functions) - flexible shapes but expensive 5. Octree/Adaptive voxel decomposition - good for LOD but complex Includes comparison table, recommendations, and implementation roadmap. Fixes netkeep80#1 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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This reverts commit f816fa5.
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Описание
Данный PR содержит детальный анализ различных подходов к параметрическому описанию и генерации воксельных кубиков для веб-редактора isocubic.
Рассмотренные методы
3D Частотный RGBA Спектр (FFT-подход)
Кубические Фрактальные Деревья
Параметрические функции с градиентами и шумом ⭐ Рекомендуется для MVP
SDF-подход (Signed Distance Functions)
Воксельная декомпозиция (Octree)
Сравнительная таблица
Рекомендации
Для MVP: Параметрический подход с градиентами и шумом
Для полной версии: Гибридный подход (Параметрический + FFT)
Файлы
ANALYSIS.md— полный документ анализа с математическими формулами, примерами кода шейдеров, JSON-схемами и планом реализацииFixes #1
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