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20242026
most citedLetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives

40 citations · 41 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video

Yuan Zeng, Yujia Shi, Tiao Tan +6

Estimating full-hand grasp pressure from egocentric video is critical for immersive VR and robotic manipulation, yet dense tactile sensing often relies on intrusive hardware. Exist…

cs.CV2026

ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting

Yuke Li, Weihang Liu, Cheng Zhang +8

Feed-forward 3D Gaussian Splatting models offer fast single-pass reconstruction,but scaling them to match per-scene optimization quality is fundamentally hindered by the scarcity o…

cs.CV2024★ 1 cited

CADSpotting: Robust Panoptic Symbol Spotting on Large-Scale CAD Drawings

Fuyi Yang, Jiazuo Mu, Yanshun Zhang +7

We introduce CADSpotting, an effective method for panoptic symbol spotting in large-scale architectural CAD drawings. Existing approaches often struggle with symbol diversity, scal…

cs.CV2024

AerialGo: Walking-through City View Generation from Aerial Perspectives

Fuqiang Zhao, Yijing Guo, Siyuan Yang +6

High-quality 3D urban reconstruction is essential for applications in urban planning, navigation, and AR/VR. However, capturing detailed ground-level data across cities is both lab…

cs.CV2024★ 40 cited

LetsGo: Large-Scale Garage Modeling and Rendering via LiDAR-Assisted Gaussian Primitives

Jiadi Cui, Junming Cao, Fuqiang Zhao +7

Large garages are ubiquitous yet intricate scenes that present unique challenges due to their monotonous colors, repetitive patterns, reflective surfaces, and transparent vehicle g…