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20232025
most citedGenerative Diffusion Prior for Unified Image Restoration and Enhancement

10 citations · 14 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

Multi-modal Multi-task Pre-training for Improved Point Cloud Understanding

Liwen Liu, Weidong Yang, Lipeng Ma +1

Recent advances in multi-modal pre-training methods have shown promising effectiveness in learning 3D representations by aligning multi-modal features between 3D shapes and their c…

cs.CV2025

ReconMOST: Multi-Layer Sea Temperature Reconstruction with Observations-Guided Diffusion

Yuanyi Song, Pumeng Lyu, Ben Fei +3

Accurate reconstruction of ocean is essential for reflecting global climate dynamics and supporting marine meteorological research. Conventional methods face challenges due to spar…

cs.CV20241 cited

RefGaussian: Disentangling Reflections from 3D Gaussian Splatting for Realistic Rendering

Rui Zhang, Tianyue Luo, Weidong Yang +5

3D Gaussian Splatting (3D-GS) has made a notable advancement in the field of neural rendering, 3D scene reconstruction, and novel view synthesis. Nevertheless, 3D-GS encounters the…

cs.CV20241 cited

GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation

Zhaoyang Lyu, Ben Fei, Jinyi Wang +4

Mesh is a fundamental representation of 3D assets in various industrial applications, and is widely supported by professional softwares. However, due to its irregular structure, me…

cs.CV20242 cited

Visual Foundation Models Boost Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation

Jingyi Xu, Weidong Yang, Lingdong Kong +4

Unsupervised domain adaptation (UDA) is vital for alleviating the workload of labeling 3D point cloud data and mitigating the absence of labels when facing a newly defined domain.…

cs.CV202310 cited

Generative Diffusion Prior for Unified Image Restoration and Enhancement

Ben Fei, Zhaoyang Lyu, Liang Pan +5

Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training,…