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GRAIL achieves an impressive 84% success rate in real-world object pick-up tasks using only synthetic data, revolutionizing humanoid robot training.
Cosmos 3 sets a new benchmark for omnimodal models, outperforming existing state-of-the-art in both Text-to-Image and Image-to-Video tasks.
Transforming sparse driving log observations into complete 3D assets could revolutionize simulation fidelity in autonomous vehicle development.
Kimodo leaps ahead in controllable human motion generation by training a diffusion model on a massive 700-hour mocap dataset, enabling unprecedented control fidelity via text and diverse kinematic constraints.
Forget synthetic data: VectorGym offers a new benchmark for SVG code generation, sketching, and editing with gold-standard human annotations, revealing surprising performance gaps in even the most powerful VLMs.
