The advancement of artificial intelligence (AI) algorithms has opened new possibilities for the development of robots that ...

Abstract: Super-resolution (SR) is an ill-posed inverse problem with many feasible solutions that are consistent with a given low-resolution image. On one hand, regressive SR models aim to balance ...

Manzano combines visual understanding and text-to-image generation, while significantly reducing performance or quality trade-offs.

[7 Jan 2023] ROIC-DM: Robust Text Inference and Classification via Diffusion Model ...

[2026/01] 🔥🔥🔥 The training code of NEO is released ! 🔥 Native Architecture: NEO innovates a native VLM primitive that unifies pixel-word encoding, alignment, and reasoning within a dense, ...

Abstract: Long-horizon dexterous tasks have been a long-standing problem in robotic manipulation. Previous studies have developed task and motion planning, imitation learning, and reinforcement ...