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20232026
most citedGEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision

19 citations · 20 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

GSCompleter: A Distillation-Free Plugin for Metric-Aware 3D Gaussian Splatting Completion in Seconds

Ao Gao, Jingyu Gong, Xin Tan +3

3D Gaussian Splatting (3DGS) has revolutionized high-fidelity neural rendering with its explicit representation and efficiency. However, reconstructing scenes from sparse viewpoint…

cs.CV2026

ProMMSearchAgent: A Generalizable Multimodal Search Agent Trained with Process-Oriented Rewards

Wentao Yan, Shengqin Wang, Huichi Zhou +4

Training multimodal agents via reinforcement learning for knowledge-intensive visual reasoning is fundamentally hindered by the extreme sparsity of outcome-based supervision and th…

cs.CV2026

S2GS: Streaming Semantic Gaussian Splatting for Online Scene Understanding and Reconstruction

Renhe Zhang, Yuyang Tan, Jingyu Gong +4

Existing offline feed-forward methods for joint scene understanding and reconstruction on long image streams often repeatedly perform global computation over an ever-growing set of…

cs.CV2025

Human Motion Synthesis in 3D Scenes via Unified Scene Semantic Occupancy

Gong Jingyu, Tong Kunkun, Chen Zhuoran +5

Human motion synthesis in 3D scenes relies heavily on scene comprehension, while current methods focus mainly on scene structure but ignore the semantic understanding. In this pape…

cs.CV2024★ 19 cited

GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision

Xin Tan, Wenbin Wu, Zhiwei Zhang +5

3D occupancy perception holds a pivotal role in recent vision-centric autonomous driving systems by converting surround-view images into integrated geometric and semantic represent…

cs.CV2023★ 1 cited

LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment

Zhiwei Zhang, Zhizhong Zhang, Qian Yu +3

3D panoptic segmentation is a challenging perception task that requires both semantic segmentation and instance segmentation. In this task, we notice that images could provide rich…