While existing camera-controllable video generation models can produce visually compelling sequences, preserving intrinsic 4D spatiotemporal coherence remains challenging. To address this limitation, we propose ChronoWorld, an"Observation--State--Reflection"framework that leverages spatiotemporal causal cues and recons...
Xiao-Yu Zhou, Ding-Wei Xian, Zhen-Yu Wang et al.· 0 citations
Online reconstruction of dynamic 4D scenes from long, unposed streaming videos requires both continuous processing and photorealistic rendering, which existing methods struggle to achieve simultaneously. Existing feed-forward Gaussian methods are restricted to offline processing, whereas online point-cloud approaches s...
Ding-Wei Xian, Xiao-Yu Zhou, Ya-Jiao Xiong et al.· 0 citations
Single-image novel view synthesis remains challenging because the underlying 3D geometry is highly ambiguous. Recent diffusion-based approaches produce plausible results, but they often struggle to preserve the geometric structure and spatial coherence of foreground objects. We present GenNVS, a framework for geometry-...
Ya-Jiao Xiong, You-Yu Luan, Xiao-Yu Zhou et al.· 0 citations
Experiments show that RegCL achieves strong retention and adaptation under domain-incremental learning, outperforming competitive non-replay continual learning and merging baselines, suggesting that RegCL can serve as a compact visual adaptation component for evolving multi-sensorial media pipelines.
Yuan-Chen Shu, Zhiwei Lin, Xiaoyu Zhou et al.· 2 citations
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