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20222026
most citedImage Data Augmentation for Deep Learning: A Survey

199 citations · 206 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models

Tong Wu, Yinghao Xu, Ryan Po +6

Recent advances in text-to-image generation have enabled the creation of high-quality images with diverse applications. However, accurately describing desired visual attributes can…

cs.CV2024

IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations

Zhibing Li, Tong Wu, Jing Tan +3

Capturing geometric and material information from images remains a fundamental challenge in computer vision and graphics. Traditional optimization-based methods often require hours…

cs.CV2024

Omni6D: Large-Vocabulary 3D Object Dataset for Category-Level 6D Object Pose Estimation

Mengchen Zhang, Tong Wu, Tai Wang +3

6D object pose estimation aims at determining an object's translation, rotation, and scale, typically from a single RGBD image. Recent advancements have expanded this estimation fr…

cs.CV2024★ 2 cited

LayerPano3D: Layered 3D Panorama for Hyper-Immersive Scene Generation

Shuai Yang, Jing Tan, Mengchen Zhang +5

3D immersive scene generation is a challenging yet critical task in computer vision and graphics. A desired virtual 3D scene should 1) exhibit omnidirectional view consistency, and…

cs.CV2024

Tailor3D: Customized 3D Assets Editing and Generation with Dual-Side Images

Zhangyang Qi, Yunhan Yang, Mengchen Zhang +7

Recent advances in 3D AIGC have shown promise in directly creating 3D objects from text and images, offering significant cost savings in animation and product design. However, deta…