1 citations · 1 across the 7 of their papers we have counts for
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Exo2EgoHOI: Hand-Object-Interaction Aware Exocentric-to-Egocentric Video Generation
Hongjia Zhai, Xiyu Zhang, Haoran Zhang +5
Egocentric videos of human manipulation provide valuable visual experience for embodied intelligence, yet collecting such data at scale is costly. Exocentric-to-egocentric video ge…
QuerySplat: Decoupling Geometry and Appearance Representations in 3DGS Prediction
Yinglong Li, Donghui Shen, Xiaoyu Zhang +5
While feed-forward 3D Gaussian Splatting (3DGS) enables efficient 3D reconstruction, achieving high-fidelity rendering remains challenging. Existing pixel-aligned approaches suffer…
SEMAGIC: Learning Semantically Consistent Deformable 3D Representations from In-the-Wild Images
Sky Cen, Wufei Ma, Guofeng Zhang +2
Learning deformable 3D object models from single-view in-the-wild images has enabled impressive 3D shape reconstruction without supervision. However, it remains unclear whether the…
INSPATIO-WORLD: A Real-Time 4D World Simulator via Spatiotemporal Autoregressive Modeling
InSpatio Team, Donghui Shen, Guofeng Zhang +20
Building world models with spatial consistency and real-time interactivity remains a fundamental challenge in computer vision. Current video generation paradigms often struggle wit…
InSpatio-WorldFM: An Open-Source Real-Time Generative Frame Model
InSpatio Team, Donghui Shen, Guofeng Zhang +16
We present InSpatio-WorldFM, an open-source real-time frame model for spatial intelligence. Unlike video-based world models that rely on sequential frame generation and incur subst…
PostCam: Camera-Controllable Novel-View Video Generation with Query-Shared Cross-Attention
Yipeng Chen, Zhichao Ye, Zhenzhou Fan +8
We propose PostCam, a streamlined framework for novel-view video generation that achieves superior detail preservation and precise camera trajectory editing in dynamic scenes. Curr…
StarGen: A Spatiotemporal Autoregression Framework with Video Diffusion Model for Scalable and Controllable Scene Generation
Shangjin Zhai, Zhichao Ye, Jialin Liu +10
Recent advances in large reconstruction and generative models have significantly improved scene reconstruction and novel view generation. However, due to compute limitations, each…
XRDSLAM: A Flexible and Modular Framework for Deep Learning based SLAM
Xiaomeng Wang, Nan Wang, Guofeng Zhang
In this paper, we propose a flexible SLAM framework, XRDSLAM. It adopts a modular code design and a multi-process running mechanism, providing highly reusable foundational modules…