GreatX3 / Playable-Game-Generation
An open-source lightweight game generation paradigm. It includes everything from data processing to model architecture design and playability-based evaluation methods. The game runs at 20 FPS on a single consumer-grade graphics card (RTX-2060) while maintaining high playability.
☆81Updated 2 months ago
Alternatives and similar repositories for Playable-Game-Generation:
Users that are interested in Playable-Game-Generation are comparing it to the libraries listed below
- ☆122Updated 2 months ago
- The code and data of Paper: Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation☆95Updated 5 months ago
- [ARXIV'25] GameFactory: Creating New Games with Generative Interactive Videos☆275Updated last week
- Code release for "PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop" (arXiv 2025)☆24Updated last week
- Video Generation, Physical Commonsense, Semantic Adherence, VideoCon-Physics☆88Updated 2 weeks ago
- Official repository for "iVideoGPT: Interactive VideoGPTs are Scalable World Models" (NeurIPS 2024), https://arxiv.org/abs/2405.15223☆121Updated 3 weeks ago
- Official repo of "Motion-Agent: A Conversational Framework for Human Motion Generation with LLMs"☆49Updated 3 weeks ago
- An ML research template with good documentation by Boyuan Chen, an MIT PhD student☆64Updated 3 weeks ago
- PhysGame Benchmark for Physical Commonsense Evaluation in Gameplay Videos☆40Updated last month
- Official implementation of "Self-Improving Video Generation"☆62Updated 3 weeks ago
- Official PyTorch Implementation of "History-Guided Video Diffusion"☆241Updated 3 weeks ago
- (CVPR 2025) From Slow Bidirectional to Fast Autoregressive Video Diffusion Models☆113Updated last week
- MetaSpatial leverages reinforcement learning to enhance 3D spatial reasoning in vision-language models (VLMs), enabling more structured, …☆81Updated this week
- ☆47Updated 3 months ago
- PyTorch implementation of DiffMoE, TC-DiT, EC-DiT and Dense DiT☆62Updated last week
- ☆64Updated last month
- The official implementation of work "REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment".☆109Updated 6 months ago
- EgoVid-5M: A Large-Scale Video-Action Dataset for Egocentric Video Generation☆98Updated 4 months ago
- 🔥 [ECCV 2024] Motion Mamba: Efficient and Long Sequence Motion Generation☆133Updated 3 months ago
- ☆17Updated 4 months ago
- Physical laws underpin all existence, and harnessing them for generative modeling opens boundless possibilities for advancing science and…☆127Updated 2 months ago
- Diffusion Powers Video Tokenizer for Comprehension and Generation (CVPR 2025)☆66Updated last month
- Benchmarking physical understanding in generative video models☆140Updated last week
- [Neurips 2024] Video Diffusion Models are Training-free Motion Interpreter and Controller☆34Updated last month
- ☆26Updated this week
- A collection of vision foundation models unifying understanding and generation.☆47Updated 2 months ago
- Code release of our paper "DI-PCG: Diffusion-based Efficient Inverse Procedural Content Generation for High-quality 3D Asset Creation".☆85Updated last week
- ☆57Updated 3 months ago
- [ICLR 2024 Spotlight] Unified Human-Scene Interaction via Prompted Chain-of-Contacts☆194Updated 4 months ago
- ElasticTok: Adaptive Tokenization for Image and Video☆64Updated 4 months ago