5 papers
Pano2World: End-to-End 3D Generation via Unified Multi-View Sequences
Zhenjia Li, Jinrang Jia, Yifeng Shi
A single panorama captures the full visual sphere from one camera center, yet confines users to looking around in place without enabling true scene exploration. Converting a single…
PanoWorld: A Generative Spatial World Model for Consistent Whole-House Panorama Synthesis
Jinrang Jia, Zhenjia Li, Yijiang Hu +1
Generating a consistent whole-house VR tour from a floorplan and style reference requires both photorealistic panoramas and cross-view spatial coherence. Pure 2D generators produce…
You Only Gaussian Once: Controllable 3D Gaussian Splatting for Ultra-Densely Sampled Scenes
Jinrang Jia, Zhenjia Li, Yifeng Shi
3D Gaussian Splatting (3DGS) has revolutionized neural rendering, yet existing methods remain predominantly research prototypes ill-suited for production-level deployment. We ident…
AttentionGS: Towards Initialization-Free 3D Gaussian Splatting via Structural Attention
Ziao Liu, Zhenjia Li, Yifeng Shi +1
3D Gaussian Splatting (3DGS) is a powerful alternative to Neural Radiance Fields (NeRF), excelling in complex scene reconstruction and efficient rendering. However, it relies on hi…
MonoLSS: Learnable Sample Selection For Monocular 3D Detection
Zhenjia Li, Jinrang Jia, Yifeng Shi
In the field of autonomous driving, monocular 3D detection is a critical task which estimates 3D properties (depth, dimension, and orientation) of objects in a single RGB image. Pr…