Author

Haiyang Xu

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Preprint Aug 2026

Hyper^2: Unleashing Hyperbolic Geometry's Full Potential via Dual-Space Consistency

Hyper^2 is proposed, a dual-space consistency framework that extends HyperbolicCD by reusing the identical arcosh(1+alpha d^2) functional form as a positional bias on the refinement attention (a hyperbolic distance encoding), paired with HyperbolicCD's hyperbolic Chamfer loss under a single shared curvature alpha.

Guantian Zheng, Haiyang Xu, Tianyu Gao · 0 citations

Preprint Aug 2026

RECAP-Forcing: Retaining Content Appearances for Long Video Generation

This work proposes RECAP-Forcing, a training-free inference method with no additional learnable parameters that consistently improves visual quality and semantic fidelity across multiple strong baselines and outperforms existing memory methods.

Haiyang Xu, Zheng Ding, Zhuowen Tu · 0 citations