💻 programming

GameGen-X

Diffusion transformation model for generating and interactively controlling open-world game videos

#AI
#video generation
#open world
#game generation
#interactive control
GameGen-X

Product Details

GameGen-X is a diffusion transformation model designed for generating and interactively controlling open-world game videos. This model achieves high-quality, open-domain video generation by simulating various features of game engines, such as innovative characters, dynamic environments, complex actions, and diverse events. In addition, it provides interactive control capabilities to predict and change future content based on current video clips, enabling gameplay simulation. To realize this vision, we first collected and built from scratch an Open World Video Game Dataset (OGameData), the first and largest open world game video generation and control dataset, containing more than 1 million diverse gameplay video clips from more than 150 games, all equipped with informative subtitles from GPT-4o. GameGen-X has gone through a two-stage training process, including basic model pre-training and instruction tuning. First, the model is pre-trained with text-to-video generation and video sequels, giving it the ability to generate long-sequence, high-quality open-domain game videos. Further, in order to achieve interactive control capabilities, we designed InstructNet to integrate game-related multi-modal control signal experts. This enables the model to adapt latent representations based on user input, unifying character interaction and scene content control in video generation for the first time. During instruction tuning, only InstructNet is updated, while the pre-trained base model is frozen, allowing the integration of interactive control capabilities without losing the diversity and quality of the generated video content. GameGen-X represents a major leap forward in using generative models for open-world video game design. It demonstrates the potential of generative models as an adjunct to traditional rendering techniques, effectively combining creative generation with interactive capabilities.

Main Features

1
- High-quality game generation: Ability to generate high-quality game videos including characters, environments, actions, and events.
2
- Character generation: Supports the generation of characters such as Geralt of Rivia, Arthur Morgan, Eivor, Jin Sakai, etc.
3
- Environment generation: Able to simulate the four seasons of spring, summer, autumn and winter as well as lakes, oceans, lavender fields, pyramids and other environments.
4
- Action generation: including motorcycles (first-person and third-person), driving, flying, sailing and other actions.
5
- Event generation: Able to generate rain, snow, thunder, sunrise, fire, sandstorm, tsunami, tornado and other events.
6
- Open field generation: Supports the generation of open field videos such as Cybermonk roaming in Chinatown and TimeMaster standing in another dimension.
7
- Multi-modal interactive control: including structured instruction prompts, operating signals and video prompts to realize interactive control of game videos.

How to Use

1
1. Visit GameGen-X’s GitHub page to obtain the model and dataset.
2
2. Install and configure the required environment and dependencies according to the documentation.
3
3. Use the OGameData data set to train the basic model to obtain high-quality game video generation capabilities.
4
4. Perform instruction tuning through InstructNet to achieve interactive control capabilities.
5
5. Generate or control game videos as needed, such as generating specific characters or environments, or changing game events based on user input.
6
6. Analyze and evaluate generated video content to ensure its quality and diversity.
7
7. Integrate GameGen-X into the game development process to improve the innovation and interactivity of game design.

Target Users

The target audience is game developers, AI researchers, and video game enthusiasts. GameGen-X is suitable for them because it provides a powerful tool for generating and controlling open-world game videos, which can help them achieve more innovation and interactivity in the game design and development process.

Examples

Use GameGen-X to generate a video of a character walking by a spring lake.

Let your character drive a car in the city and perform stunts through interactive controls.

Generate a scene of a character fighting in the snow, and change combat actions based on user input.

Quick Access

Visit Website →

Categories

💻 programming
› video generation
› game generation

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