collaborators

7 papers

cs.CV2026

Spatial Memory Intelligence: Endowing World Models with Understanding-Driven Long-Term Memory

Ying Yang, Guiyu Zhang, Lianghua Huang +5

Long-video generation and world models have shown strong potential for interactive entertainment and embodied simulation by predicting future observations conditioned on user actio…

cs.CV2026

VideoWeave: Unlocking Geometric Consistency in Video Generation via Joint Geometry-Video Modeling

Xunzhi Xiang, Zixuan Duan, Yabo Chen +8

Large-scale video diffusion models often fail to preserve 3D structure over time, causing geometric drift and implausible motion under viewpoint changes. Existing methods usually e…

cs.CV2026

SymphoMotion: Joint Control of Camera Motion and Object Dynamics for Coherent Video Generation

Guiyu Zhang, Yabo Chen, Xunzhi Xiang +3

Controlling both camera motion and object dynamics is essential for coherent and expressive video generation, yet current methods typically handle only one motion type or rely on a…

cs.CV2026

Pathwise Test-Time Correction for Autoregressive Long Video Generation

Xunzhi Xiang, Zixuan Duan, Guiyu Zhang +7

Distilled autoregressive diffusion models facilitate real-time short video synthesis but suffer from severe error accumulation during long-sequence generation. While existing Test-…

cs.CV2026

LIVE: Long-horizon Interactive Video World Modeling

Junchao Huang, Ziyang Ye, Xinting Hu +5

Autoregressive video world models predict future visual observations conditioned on actions. While effective over short horizons, these models often struggle with long-horizon gene…

cs.CV2025

Denoising Vision Transformer Autoencoder with Spectral Self-Regularization

Xunzhi Xiang, Xingye Tian, Guiyu Zhang +5

Variational autoencoders (VAEs) typically encode images into a compact latent space, reducing computational cost but introducing an optimization dilemma: a higher-dimensional laten…

cs.CV2025

Macro-from-Micro Planning for High-Quality and Parallelized Autoregressive Long Video Generation

Xunzhi Xiang, Yabo Chen, Guiyu Zhang +10

Current autoregressive diffusion models excel at video generation but are generally limited to short temporal durations. Our theoretical analysis indicates that the autoregressive…