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20222025
most citedRayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo

1 citations · 1 across the 3 of their papers we have counts for

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cs.CV2025

MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos

Hongyi Zhou, Yulan Guo, Xiaogang Wang +1

Accurately analyzing the motion parts and their motion attributes in dynamic environments is crucial for advancing key areas such as embodied intelligence. Addressing the limitatio…

cs.CV2025

OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging

Yijie Tang, Jiazhao Zhang, Yuqing Lan +4

Online zero-shot 3D instance segmentation of a progressively reconstructed scene is both a critical and challenging task for embodied applications. With the success of visual found…

cs.CV2025

Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion Priors

Minglin Chen, Longguang Wang, Sheng Ao +3

3D scene generation conditioned on text prompts has significantly progressed due to the development of 2D diffusion generation models. However, the textual description of 3D scenes…

cs.CV2024

VideoDirector: Precise Video Editing via Text-to-Video Models

Yukun Wang, Longguang Wang, Zhiyuan Ma +3

Despite the typical inversion-then-editing paradigm using text-to-image (T2I) models has demonstrated promising results, directly extending it to text-to-video (T2V) models still s…

cs.CV20221 cited

RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo

Junhua Xi, Yifei Shi, Yijie Wang +2

Learning-based multi-view stereo (MVS) has by far centered around 3D convolution on cost volumes. Due to the high computation and memory consumption of 3D CNN, the resolution of ou…