2 papers
cs.AI2026
Universal Smoothness via Bernstein Polynomials: A Constructive Approximation Approach for Activation Functions
Wentao Zhang, Yutong Zhang, Yifan Zhu +1
The efficacy of deep neural networks is heavily reliant on the design of non-linear activation functions, yet existing approaches often struggle to balance optimization stability w…
cs.GR2026
Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation
Diandian Gu, Jing Lin, Gaohong Liu +25
We present Seed3D 2.0, an advanced 3D content generation system built on Seed3D 1.0, with substantial improvements across generation fidelity, simulation-ready capabilities, and ap…