arXiv:2604.07348v1 Announce Type: cross
Abstract: Generating motion-controlled videos–where user-specified actions drive physically plausible scene dynamics under freely chosen viewpoints–demands two capabilities: (1) disentangled motion control, al…
arXiv:2604.01204v2 Announce Type: replace-cross
Abstract: Primitive-based methods such as 3D Gaussian Splatting have recently become the state-of-the-art for novel-view synthesis and related reconstruction tasks. Compared to neural fields, these repre…
arXiv:2604.06358v1 Announce Type: cross
Abstract: Exploring ensemble simulations is increasingly important across many scientific domains. However, supporting flexible post-hoc exploration remains challenging due to the trade-off between storing the e…
arXiv:2604.07350v1 Announce Type: cross
Abstract: Large Chunk Test-Time Training (LaCT) has shown strong performance on long-context 3D reconstruction, but its fully plastic inference-time updates remain vulnerable to catastrophic forgetting and overf…
arXiv:2604.07177v1 Announce Type: cross
Abstract: We investigate the feasibility of real-time 3D Gaussian Splatting (3DGS) rasterisation on edge clients with varying Gaussian splat counts and GPU computational budgets. Instead of evaluating multiple p…
arXiv:2604.06494v1 Announce Type: new
Abstract: AI-driven content generation has made remarkable progress in recent years. However, neural networks and human designers operate in fundamentally different ways, making collaboration between them challeng…
arXiv:2512.07527v3 Announce Type: replace
Abstract: City-scale 3D reconstruction from satellite imagery presents the challenge of extreme viewpoint extrapolation, where our goal is to synthesize ground-level novel views from sparse orbital images with…
arXiv:2603.20284v2 Announce Type: replace
Abstract: Online 3D reconstruction from streaming inputs requires both long-term temporal consistency and efficient memory usage. Although causal variants of VGGT address this challenge through a key-value (KV…
arXiv:2604.05794v1 Announce Type: new
Abstract: Strand-level hair geometry reconstruction is a fundamental problem in virtual human modeling and the digitization of hairstyles. However, existing methods still suffer from a significant trade-off betwee…
arXiv:2506.18601v2 Announce Type: replace-cross
Abstract: Transforming casually captured, monocular videos into fully immersive dynamic experiences is a highly ill-posed task, and comes with significant challenges, e.g., reconstructing unseen regions,…