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20222026
most citedA Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

411 citations · 823 across the 18 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023★ 33 cited

Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V

Zhiling Yan, Kai Zhang, Rong Zhou +3

In this paper, we critically evaluate the capabilities of the state-of-the-art multimodal large language model, i.e., GPT-4 with Vision (GPT-4V), on Visual Question Answering (VQA)…

cs.CV2023★ 8 cited

MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation

Cheng Chen, Juzheng Miao, Dufan Wu +10

The Segment Anything Model (SAM), a foundation model for general image segmentation, has demonstrated impressive zero-shot performance across numerous natural image segmentation ta…

cs.CV2023★ 1 cited

Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

Shaozu Yuan, Aijun Dai, Zhiling Yan +5

In this paper, we present a novel system (denoted as Polaca) to generate poetic Chinese landscape painting with calligraphy. Unlike previous single image-to-image painting generati…

cs.CL2023★ 260 cited

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

Kai Zhang, Rong Zhou, Eashan Adhikarla +20

Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to ut…

cs.AI2023★ 411 cited

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Yihan Cao, Siyu Li, Yixin Liu +4

Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and…

cs.CV2023

CellMix: A General Instance Relationship based Method for Data Augmentation Towards Pathology Image Classification

Tianyi Zhang, Zhiling Yan, Chunhui Li +5

In pathology image analysis, obtaining and maintaining high-quality annotated samples is an extremely labor-intensive task. To overcome this challenge, mixing-based methods have em…