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Lidar Scene Completion

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Benchmarks

SemanticKITTI

결과 5개

Most implemented

Papers

Towards Real-Time and Adaptable LiDAR Scene Completion

2026-08-17 · Azhar Hussian, Martin Vossiek, Vasileios Belagiannis arxiv

LiDAR scene completion is a key component of 3D perception in autonomous driving, where the scene must be completed in real time to be usable in downstream tasks. Existing approaches typically follow an initialize-and-re…

Lidar Scene CompletionAutonomous Driving

Iterate or Widen? When Test-Time Refinement Helps LiDAR Scene Completion: A Controlled Study of Evidence Geometry, Training Coverage, and Compute

2026-08-06 · Shijie Hao, Weining Zhang arxiv

Should a completion model spend extra test-time compute by iterating, or spend a similar parameter budget on a wider one-shot predictor? The answer is easily confounded by denoising curricula, corruption augmentation, ca…

Lidar Scene Completion

PatchScene: Patch-based Voxel Diffusion for Large-Scale Scene Completion

2026-06-02 · Qingdong Xu, Jiajun Zhu, Shilin Zhu, Xinjing He 외 arxiv

We propose PatchScene, a novel diffusion-based framework for large-scale LiDAR scene completion. Unlike existing methods that rely on global latent representations or dense voxel grids, PatchScene adopts a patch-based vo…

Lidar Scene CompletionAutonomous Driving

LiFlow: Flow Matching for 3D LiDAR Scene Completion

2026-02-02 · Andrea Matteazzi, Dietmar Tutsch arxiv

In autonomous driving scenarios, the collected LiDAR point clouds can be challenged by occlusion and long-range sparsity, limiting the perception of autonomous driving systems. Scene completion methods can infer the miss…

Lidar Scene CompletionAutonomous DrivingPoint Clouds

LiNeXt: Revisiting LiDAR Completion with Efficient Non-Diffusion Architectures

2025-11-13 · Wenzhe He, Xiaojun Chen, Ruiqi Wang, Ruihui Li 외 arxiv

3D LiDAR scene completion from point clouds is a fundamental component of perception systems in autonomous vehicles. Previous methods have predominantly employed diffusion models for high-fidelity reconstruction. However…

Point Cloud CompletionLidar Scene CompletionAutonomous VehiclesPoint Clouds

LiDPM: Rethinking Point Diffusion for Lidar Scene Completion

2025-04-24 · Tetiana Martyniuk, Gilles Puy, Alexandre Boulch, Renaud Marlet 외

Training diffusion models that work directly on lidar points at the scale of outdoor scenes is challenging due to the difficulty of generating fine-grained details from white noise over a broad field of view. The latest …

Lidar Scene Completion

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