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Experimental high-performance HyperFrames rendering optimizations with reproducible benchmarks and fidelity gates

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HyperFrames Turbo

Experimental render acceleration research for HyperFrames.

Independent project by digitopvn, not affiliated with or endorsed by HeyGen.

Goal

Maximize end-to-end render throughput, incremental rerender speed and efficiency without degrading frame fidelity, audio synchronization, alpha/HDR color correctness, resolution, framerate or reliability.

Start with the master epic

Issue #1: architecture, implementation tracks, benchmark protocol and acceptance criteria

State

  • Public Apache-2.0 repository and detailed implementation issue
  • PR00: pin upstream SHA, audit current optimizations, run reproducible baseline and instrument bottlenecks
  • PR01: automated reference fidelity and quality regression gates
  • Subsequent PRs: capture and transport, Scene IR, incremental caching, GPU media/HDR, scheduling and quality-aware encoding

No speedup claim has been independently measured yet. All acceleration hypotheses require paired A/B benchmarks, raw data and a fidelity gate.

Core approach

Render only what changes; move pixel data as little as possible; avoid re-encoding compatible video spans; schedule independent stages concurrently; preserve a trustworthy Chromium fallback. Develop one verified experiment at a time.

License

Apache-2.0, see LICENSE. The upstream HyperFrames project is separately Apache-2.0; respect copyright and NOTICE/attribution requirements for redistributed upstream code.

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Experimental high-performance HyperFrames rendering optimizations with reproducible benchmarks and fidelity gates

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