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, contributed to the hao-ai-lab/FastVideo repository by developing advanced interactive and camera-controlled video generation features. Built Matrix-Game 2.0, enabling real-time, user-driven video generation with mouse and keyboard controls, and later extended the system to support streaming video output with reduced latency and enhanced UI controls. Integrated LingBot-World-Base (Cam), allowing camera trajectory-driven video generation from text prompts, and implemented supporting configurations and embedding utilities. Leveraged Python, PyTorch, and async programming to deliver robust, production-ready pipelines. Focused on end-to-end feature delivery, cross-functional collaboration, and incremental improvements to video processing and user interactivity without major bug fixes.
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
213 peopleSame Organization
@ucsd.edu195
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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