Rehearsing AI Video in the Browser: A Three.js Blockout Workspace

Описание и применение

Веб‑инструмент на Three.js позволяет моделировать сцены, проверять композицию и продолжительность до генерации AI‑видео, выявляя ошибки в композиции и непрерывности.

Задача

Generated AI video often misrepresents narrative details such as character entry direction, shot composition, and prop continuity, leading to costly re‑generation.

Результат

The blockout workspace enabled earlier staging checks, a concrete comparison baseline after AI generation, and more precise revision discussions, though no quantitative reduction in retries was measured.

Рабочий процесс

• 1. Model a simplified scene in Three.js (characters, props, camera shots, script segments).
• 2. Use the scene command layer to validate and apply manual edits or AI‑proposed structured operations.
• 3. Preview the scene with synchronized actor poses, camera selection, and script timing.
• 4. Export the scene JSON and a WebM video from the browser canvas using MediaRecorder.
• 5. Review AI‑generated shots against the blockout to identify discrepancies.

Доказательства

A generated video can look beautiful and still tell the wrong story.

Источник

The workspace exports scene JSON and a real 1280 × 720 WebM camera-view video, with progress and cancellation.

Источник

The clearest benefits we observed were earlier staging checks, a concrete comparison baseline after generation, and more precise discussions about revisions.

Источник