hao-ai-lab/FastVideo
Dec 2025 – Feb 2026
3 Months active
Languages Used
Python
Technical Skills
AI Model DevelopmentDeep LearningMachine LearningVideo ProcessingAI model integrationasync programming
Kaiqin Kong
PROFILE
Kaiqin Kong
Over a three-month period, Kong contributed to the hao-ai-lab/FastVideo repository by developing advanced interactive video generation features. He engineered Matrix-Game 2.0, enabling real-time, user-driven video creation with mouse and keyboard controls, and later extended the system to support streaming video generation with reduced latency and enhanced UI controls. In February, Kong integrated camera trajectory-driven video generation by porting the LingBot-World-Base (Cam) model, allowing videos to be generated from text prompts and camera paths. His work leveraged Python, PyTorch, and async programming, demonstrating depth in AI model integration, video processing, and the design of interactive, production-ready pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
3
Lines of code
7,953
Activity Months3
Your Network
198 peopleSame Organization
@ucsd.edu182
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 focused on delivering camera-controlled video generation by porting LingBot-World-Base (Cam) into FastVideo. Implemented camera trajectory-driven generation, new configurations, model definitions, and camera embedding utilities to enhance the video generation pipeline. No critical bugs reported; stabilization work completed during port.
1 Commits • 1 Features
Feb 1, 2026February 2026 focused on delivering camera-controlled video generation by porting LingBot-World-Base (Cam) into FastVideo. Implemented camera trajectory-driven generation, new configurations, model definitions, and camera embedding utilities to enhance the video generation pipeline. No critical bugs reported; stabilization work completed during port.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for hao-ai-lab/FastVideo (January 2026). Highlights include delivery of real-time streaming video generation for Matrix-Game 2.0, improvements to streaming pipelines, and user-driven control over generation parameters. No major bug fixes were reported for this period; the focus was on delivering a robust streaming feature and UI enhancements.
January 2026
1 Commits • 1 Features
Jan 1, 2026Concise monthly summary for hao-ai-lab/FastVideo (January 2026). Highlights include delivery of real-time streaming video generation for Matrix-Game 2.0, improvements to streaming pipelines, and user-driven control over generation parameters. No major bug fixes were reported for this period; the focus was on delivering a robust streaming feature and UI enhancements.
December 2025
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — Hao-ai-lab/FastVideo. Concise delivery focused on expanding interactive video generation capabilities. Key features delivered: - Matrix-Game 2.0: Interactive Video Generation with Mouse/Keyboard Controls, enabling interactive gameplay experiences within the video generation pipeline. Major bugs fixed: - No major bugs reported or fixed this month. Overall impact and accomplishments: - Significantly expanded FastVideo capabilities by enabling interactive content generation, unlocking new use cases and potential business value (enhanced user engagement and diversification of content formats). Technologies/skills demonstrated: - End-to-end feature delivery in a video generation workflow, collaboration via PRs and commits, and integration of input controls for interactive media.
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12 — Hao-ai-lab/FastVideo. Concise delivery focused on expanding interactive video generation capabilities. Key features delivered: - Matrix-Game 2.0: Interactive Video Generation with Mouse/Keyboard Controls, enabling interactive gameplay experiences within the video generation pipeline. Major bugs fixed: - No major bugs reported or fixed this month. Overall impact and accomplishments: - Significantly expanded FastVideo capabilities by enabling interactive content generation, unlocking new use cases and potential business value (enhanced user engagement and diversification of content formats). Technologies/skills demonstrated: - End-to-end feature delivery in a video generation workflow, collaboration via PRs and commits, and integration of input controls for interactive media.
December 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI Model DevelopmentAI model integrationDeep LearningMachine LearningPyTorchVideo Processingasync programmingcomputer visiondeep learningmachine learningstreaming technologyvideo generationvideo processing
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