AI 工具AI TOOLS· IMAGE-VIDEO
Eyeline-Labs/ID-V2V
The official implementation of SIGGRAPH Asia 2026 paper "ID-V2V: Identity-preserving Video Restylization"
根据公开文档整理，未运行实测；费用以项目官网为准。Based on public documentation, without runtime testing. Check the project site for pricing.
能力CAPABILITIES
上手GET STARTED
git clone https://github.com/Eyeline-Labs/ID-V2V && cd ID-V2V选择与你的环境对应的方式。命令来自项目文档，未运行实测。Choose the option for your environment. Commands come from project documentation and have not been run-tested.
使用限制LIMITATIONS
以下要求与风险来自文档静态检查，未执行项目代码；扫描没有命中，不代表使用安全。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
未知Unknown
项目动态PROJECT ACTIVITY
首次发现FIRST SEEN
11 OCT 202611 OCT 2026
增长GROWTH
+1.1%+1.1%
283 → 286 stars · 7 个快照283 → 286 stars · 7 snapshots
状态STATUS
持续活跃Active
静态扫描STATIC SCAN
在 README、SKILL.md 和依赖清单中没有匹配到已知风险模式。No known risk patterns matched in the README, SKILL.md or dependency list.
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