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20182026
most citedVisibility-aware Multi-view Stereo Network

53 citations · 144 across the 10 of their papers we have counts for

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16 papers · 1 filter

cs.CV20251 cited

Sharp Monocular View Synthesis in Less Than a Second

Lars Mescheder, Wei Dong, Shiwei Li +10

We present SHARP, an approach to photorealistic view synthesis from a single image. Given a single photograph, SHARP regresses the parameters of a 3D Gaussian representation of the…

cs.CV2025

Matrix3D: Large Photogrammetry Model All-in-One

Yuanxun Lu, Jingyang Zhang, Tian Fang +6

We present Matrix3D, a unified model that performs several photogrammetry subtasks, including pose estimation, depth prediction, and novel view synthesis using just the same model.…

cs.CV2023

Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion

Yuanxun Lu, Jingyang Zhang, Shiwei Li +6

Recent advances in generative AI have unveiled significant potential for the creation of 3D content. However, current methods either apply a pre-trained 2D diffusion model with the…

cs.CV20232 cited

JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling

Jingyang Zhang, Shiwei Li, Yuanxun Lu +5

We introduce JointNet, a novel neural network architecture for modeling the joint distribution of images and an additional dense modality (e.g., depth maps). JointNet is extended f…

cs.CV20232 cited

NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation

Jingyang Zhang, Yao Yao, Shiwei Li +5

We present a novel differentiable rendering framework for joint geometry, material, and lighting estimation from multi-view images. In contrast to previous methods which assume a s…

cs.CV202053 cited

Visibility-aware Multi-view Stereo Network

Jingyang Zhang, Yao Yao, Shiwei Li +2

Learning-based multi-view stereo (MVS) methods have demonstrated promising results. However, very few existing networks explicitly take the pixel-wise visibility into consideration…