

Gamegen X
Overview :
GameGen-X is a diffusion model specifically designed for generating and interactively controlling open-world game videos. The 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. Additionally, it provides interactive control capabilities that allow it to predict and alter future content based on current video segments, simulating gameplay. To realize this vision, we meticulously collected and constructed an open-world video game dataset (OGameData) from scratch. This dataset is the first and largest of its kind for open-world video generation and control, comprising over a million diversified game video clips from more than 150 games, all equipped with informative subtitles powered by GPT-4o. GameGen-X underwent a two-phase training process, consisting of foundational model pre-training and instruction tuning. Initially, the model was pre-trained using text-to-video generation and video continuation methods, equipping it with the capability to generate long sequences of high-quality open-domain game videos. To further enhance its interactive control abilities, we developed InstructNet, which integrates expert multimodal control signals relevant to gaming. This allows the model to adjust latent representations according to user input, unifying character interaction and scene content control in video generation for the first time. During the instruction tuning phase, only InstructNet was updated while the pre-trained foundational model remained static, ensuring that the integration of interactive control capabilities did not compromise the diversity and quality of generated video content. GameGen-X represents a significant leap in video game design using generative models, demonstrating the potential of these models as complementary tools to traditional rendering techniques, effectively combining creative generation with interactive abilities.
Target Users :
Target audience includes game developers, AI researchers, and video game enthusiasts. GameGen-X is suitable for them as it offers powerful tools for generating and controlling open-world game videos, allowing for greater innovation and interactivity during game design and development.
Use Cases
Use GameGen-X to generate a video of a character walking by a lake in spring.
Through interactive control, let the character drive a car in the city and perform stunts.
Generate a scene of a character fighting in the snow, changing combat actions based on user input.
Features
- High-quality game generation: Capable of producing high-quality game videos encompassing characters, environments, actions, and events.
- Character generation: Supports the creation of characters such as Geralt of Rivia, Arthur Morgan, Eivor, Jin Sakai, and more.
- Environment generation: Capable of simulating seasons (spring, summer, autumn, winter) and various environments like lakes, oceans, lavender fields, and pyramids.
- Action generation: Includes a variety of actions such as motorcycle riding (first-person and third-person), driving, flying, and sailing.
- Event generation: Can generate events like rain, snow, thunderstorms, sunrises, fires, sandstorms, tsunamis, and tornadoes.
- Open-domain generation: Supports the creation of open-domain videos like Cybermonk roaming through Chinatown or TimeMaster standing in another dimension.
- Multimodal interactive control: Incorporates structured instruction prompts, operational signals, and video cues for interactive video control.
How to Use
1. Visit the GameGen-X GitHub page to access the model and datasets.
2. Install and configure the required environment and dependencies according to the documentation.
3. Train the foundational model using the OGameData dataset to achieve high-quality game video generation.
4. Perform instruction tuning with InstructNet to enable interactive control capabilities.
5. Generate or control game videos as needed, such as creating specific characters or environments or altering game events based on user input.
6. Analyze and evaluate the generated video content to ensure its quality and diversity.
7. Integrate GameGen-X into the game development workflow to enhance the innovation and interactivity of game design.
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