UniVideo

UniVideo

Unified Understanding, Generation, and Editing for Videos.

UniVideo is an AI Video Models that seamlessly integrates video understanding, generation, and editing. Powered by a dual-stream architecture, it enables high-fidelity in-context creation and precise free-form editing.

Startups

Features

1.In-Context Generation: Upload reference images to guide the AI in creating consistent characters and environments.

2.Visual Prompt Understanding: Advanced MLLM architecture that interprets complex visual cues for nuanced video output.

3.In-Context Editing: Intelligently replace or modify specific segments of a video based on image prompts.

4.Free-form Video Editing: Modify video content directly using natural language or visual instructions for total creative control.

Use Cases

1.Character Consistency: Creating episodic content where characters look identical across different scenes.

2.Dynamic Object Replacement: Swapping or adding objects in existing footage using a simple reference photo.

3.AI Cinematography: Generating high-quality trailers and cutscenes for game developers and filmmakers.

4.Visual Prompting: Turning conceptual sketches or mood boards into fully realized video sequences.

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Comments

BII Japan

Clean approach to AI video—powerful but easy to work with

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glm image

GLM-Image

UniVideo focuses on an interesting direction: combining visual references with natural language to enable more controllable video generation and editing. The idea of in-context generation and editing stands out, especially for maintaining character consistency and making targeted changes without rebuilding entire scenes. This approach feels well-suited for creators who want more iterative control over video content, rather than fully automated one-shot generation. Overall, it looks like a thoughtful step toward more practical and flexible AI video workflows.

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