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From the 1 of 11 linked papers with an AI index.

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20242026
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cs.CV2026

RayLift: Lifting Complementary Ray-Wise Evidence with 3D Geometry Priors for Semantic Scene Completion

Meng Wang, Hongxia Yu, Wenzhe He +4

Camera-based 3D semantic scene completion (SSC) provides comprehensive scene understanding for autonomous driving and robotics. However, existing methods often treat stereo depth e…

cs.CV2026

Geospatial-Prior Guidance for 3D Semantic Scene Completion

Meng Wang, Shougao Zhang, Wenzhe He +4

Inferring complete 3D geometry and semantics from onboard images remains challenging because occlusions and restricted fields of view leave large scene regions underconstrained. Al…

cs.CV2026

FPSGen: Flexible Point Cloud Scene Generation with BEV-Supported Transport Flows

Wenzhe He, Meng Wang, JiaWei Qian +3

FPSGen is a framework that generates outdoor point‑cloud scenes by first predicting a bird’s‑eye‑view prior and then using a transport‑flow model to create points, supporting both…

cs.CV2026

RoomPilot: Controllable Indoor Scene Synthesis via Multimodal Semantic Parsing

Wentang Chen, Shougao Zhang, Yiman Zhang +2

Generating controllable indoor scenes is fundamental to applications in game development, architectural visualization, and embodied AI. However, existing approaches either support…

cs.CV2025

LiNeXt: Revisiting LiDAR Completion with Efficient Non-Diffusion Architectures

Wenzhe He, Xiaojun Chen, Ruiqi Wang +5

3D LiDAR scene completion from point clouds is a fundamental component of perception systems in autonomous vehicles. Previous methods have predominantly employed diffusion models f…

cs.CV2025

Learning Temporal 3D Semantic Scene Completion via Optical Flow Guidance

Meng Wang, Fan Wu, Ruihui Li +3

3D Semantic Scene Completion (SSC) provides comprehensive scene geometry and semantics for autonomous driving perception, which is crucial for enabling accurate and reliable decisi…