Author

Ruo-Chong Zheng

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Preprint Oct 2026

Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration

BeziCast is proposed, a training-free diffusion acceleration framework that forecasts output-proximal denoising representations using low-order B'ezier trajectories using Tikhonov-stabilized fitting, providing a smooth, capacity-controlled temporal parameterization that avoids explicit high-order derivative estimation...

Lei Zhu, Mu-Jie Lin, Ruo-Chong Zheng et al. · 0 citations

Preprint Aug 2026

MiniWorld: Democratizing the Training of Video World Models from Scratch

MiniWorld is presented, a reproducible framework for training streaming video world models from scratch that adopts a chunk-wise non-decreasing noise schedule and two-stage continued training to improve temporal modeling and stability and will facilitate future research on video world modeling.

Yian Zhao, Ruo-Chong Zheng, Hongcan Guo et al. · 0 citations