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20222026
most citedWonder3D++: Cross-domain Diffusion for High-fidelity 3D Generation from a Single Image

2 citations · 4 across the 14 of their papers we have counts for

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cs.CV2025★ 2 cited

Wonder3D++: Cross-domain Diffusion for High-fidelity 3D Generation from a Single Image

Yuxiao Yang, Xiao-Xiao Long, Zhiyang Dou +7

In this work, we introduce \textbf{Wonder3D++}, a novel method for efficiently generating high-fidelity textured meshes from single-view images. Recent methods based on Score Disti…

cs.CV2025

2DGS-R: Revisiting the Normal Consistency Regularization in 2D Gaussian Splatting

Haofan Ren, Qingsong Yan, Ming Lu +2

Recent advancements in 3D Gaussian Splatting (3DGS) have greatly influenced neural fields, as it enables high-fidelity rendering with impressive visual quality. However, 3DGS has d…

cs.CV2025

RA-NeRF: Robust Neural Radiance Field Reconstruction with Accurate Camera Pose Estimation under Complex Trajectories

Qingsong Yan, Qiang Wang, Kaiyong Zhao +4

Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have emerged as powerful tools for 3D reconstruction and SLAM tasks. However, their performance depends heavily on ac…

cs.GR2025

3D Gaussian Splatting for Fine-Detailed Surface Reconstruction in Large-Scale Scene

Shihan Chen, Zhaojin Li, Zeyu Chen +3

Recent developments in 3D Gaussian Splatting have made significant advances in surface reconstruction. However, scaling these methods to large-scale scenes remains challenging due…

cs.CV2025

A Deep Single Image Rectification Approach for Pan-Tilt-Zoom Cameras

Teng Xiao, Qi Hu, Qingsong Yan +3

Pan-Tilt-Zoom (PTZ) cameras with wide-angle lenses are widely used in surveillance but often require image rectification due to their inherent nonlinear distortions. Current deep l…

cs.CV2025

SphereFusion: Efficient Panorama Depth Estimation via Gated Fusion

Qingsong Yan, Qiang Wang, Kaiyong Zhao +4

Due to the rapid development of panorama cameras, the task of estimating panorama depth has attracted significant attention from the computer vision community, especially in applic…