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20232026
most citedPFDepth: Heterogeneous Pinhole-Fisheye Joint Depth Estimation via Distortion-aware Gaussian-Splatted Volumetric Fusion

2 citations · 3 across the 24 of their papers we have counts for

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cs.CV2026

World2Minecraft: Occupancy-Driven Simulated Scenes Construction

Lechao Zhang, Haoran Xu, Jingyu Gong +3

Embodied intelligence requires high-fidelity simulation environments to support perception and decision-making, yet existing platforms often suffer from data contamination and limi…

cs.CV2026

DailyArt: Discovering Articulation from Single Static Images via Latent Dynamics

Hang Zhang, Qijian Tian, Jingyu Gong +4

Articulated objects are essential for embodied AI and world models, yet inferring their kinematics from a single closed-state image remains challenging because crucial motion cues…

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.CV2025

Camera-Aware Cross-View Alignment for Referring 3D Gaussian Splatting Segmentation

Yuwen Tao, Kanglei Zhou, Xin Tan +1

Referring 3D Gaussian Splatting Segmentation (R3DGS) aims to ground free-form language queries in 3D Gaussian fields. However, existing methods rely on single-view pseudo supervisi…

cs.CV20252 cited

PFDepth: Heterogeneous Pinhole-Fisheye Joint Depth Estimation via Distortion-aware Gaussian-Splatted Volumetric Fusion

Zhiwei Zhang, Ruikai Xu, Weijian Zhang +5

In this paper, we present the first pinhole-fisheye framework for heterogeneous multi-view depth estimation, PFDepth. Our key insight is to exploit the complementary characteristic…