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GaussianImage: 1000 FPS Image Representation and Compression by 2D Gaussian Splatting
March 14, 2024, 4:46 a.m. | Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Yan Wang, Hongwei Qin, Guo Lu, Jing Geng, Jun Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: Implicit neural representations (INRs) recently achieved great success in image representation and compression, offering high visual quality and fast rendering speeds with 10-1000 FPS, assuming sufficient GPU resources are available. However, this requirement often hinders their use on low-end devices with limited memory. In response, we propose a groundbreaking paradigm of image representation and compression by 2D Gaussian Splatting, named GaussianImage. We first introduce 2D Gaussian to represent the image, where each Gaussian has 8 …
abstract arxiv compression cs.ai cs.cv cs.mm devices eess.iv fps gpu gpu resources however image implicit neural representations low memory quality rendering representation resources success type visual
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