Jianfeng Xiang, Zhiqing Lv, Sicheng Xu, Deng‐Guang Yu et al.
We introduce a novel 3D generation method for versatile and high-quality 3D asset creation. The cornerstone is a unified Structured LATent (SLat) representation which allows decoding to different output formats, such as Radiance Fields, 3D Gaussians, and meshes. This is achieved by integrating a spa...
Qing Hong, Hong Yang, Yanfeng Fang, Wang Li et al.
Abstract Self-adaptability is highly envisioned for artificial devices such as robots with chemical noses. For this goal, seeking catalysts with multiple and modulable reaction pathways is promising but generally hampered by inconsistent reaction conditions and negative internal interferences. Herei...
Ruicheng Wang, Sicheng Xu, Cassie Dai, Jianfeng Xiang et al.
We present MoGe, a powerful model for recovering 3D geometry from monocular open-domain images. Given a single image, our model directly predicts a 3D point map of the captured scene with an affine-invariant representation, which is agnostic to true global scale and shift. This new representation pr...
Sicheng Wu, Dachao Jin, Xudong Wang, Jing‐Jia Luo
Ruikai Zhang, Sicheng Song, Shuangba He, Zhenxuan Fei et al.
Wireless key generation systems often face challenges in achieving low Key Disagreement Rates (KDR) and Key Generation Rate (KGR) across diverse scenarios, limiting their reliability and efficiency. This paper presents a wireless key generation system based on the ESP32 platform, combining quantizat...