lvsa-reproduce-paper

Automates LVSA paper result reproduction using bundled benchmarks and scripts.

18|4|Updated May 21, 2026
One-click install
npx skills add https://github.com/JiusiServe/LongVideoSparseAttention --skill lvsa-reproduce-paper
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: lvsa-reproduce-paper
Source: https://github.com/JiusiServe/LongVideoSparseAttention/tree/main/skills/lvsa-reproduce-paper
Command: npx skills add https://github.com/JiusiServe/LongVideoSparseAttention --skill lvsa-reproduce-paper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reproduce LVSA paper results using bundled benchmarks and scripts, enabling verification of SotA comparisons and latency scaling without reproducing all resources manually.

Core Features & Use Cases

  • Reproduce headline LVSA results as shown in the paper, including SotA benchmarks, latency scaling, and quality scoring using VQeval and VBench-Long.
  • Validate results across Wan 2.1 1.3B and HunyuanVideo setups using the bundled benchmarks and scripts.
  • Use the provided workflows to regenerate figures in the README and compare against baselines.

Quick Start

Run the bundled benchmarks and scripts to reproduce the LVSA paper results.

Frequently Asked Questions about lvsa-reproduce-paper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reproduce LVSA paper results for SotA benchmarks and latency scaling?

Reproduce LVSA paper results by running bundled benchmarks and scripts that automate SotA comparisons, latency scaling, and scoring across Wan 1.3B and HunyuanVideo setups without manual resource recreation.

What benchmarks are included for verifying LVSA video quality scoring?

The LVSA reproduction package bundles VQeval and VBench-Long benchmarks to validate video quality scoring and SotA comparison results shown in the original paper.

Do I need Python 3.12 and external model weights to run the LVSA reproduction scripts?

Yes, running the LVSA reproduction scripts requires a Python 3.12 environment with project dependencies, the bundled benchmarks/ and scripts/ directories, and external model weights downloaded separately.

Can I regenerate figures from the LVSA README using the bundled workflows?

Yes, the bundled LVSA workflows allow you to regenerate figures from the README and compare results against baselines across Wan 2.1 1.3B and HunyuanVideo model setups.

What is the best way to validate LVSA latency scaling without reproducing all resources manually?

Use the bundled LVSA benchmarks and scripts to automate latency scaling validation and SotA comparisons across supported model setups, bypassing the need to manually recreate experimental resources.

Are there limitations when reproducing LVSA results across different video generation model setups?

The LVSA reproduction scripts currently validate results specifically across Wan 2.1 1.3B and HunyuanVideo setups, and require separately downloading external model weights not included in the bundle.