Vbench++: Comprehensive and versatile benchmark suite for video generative models

Z Huang, F Zhang, X Xu, Y He, J Yu, Z Dong… - arxiv preprint arxiv …, 2024 - arxiv.org
Video generation has witnessed significant advancements, yet evaluating these models
remains a challenge. A comprehensive evaluation benchmark for video generation is …

Prompt optimization with human feedback

X Lin, Z Dai, A Verma, SK Ng, P Jaillet… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) have demonstrated remarkable performances in various
tasks. However, the performance of LLMs heavily depends on the input prompt, which has …

Just say the name: Online continual learning with category names only via data generation

M Seo, S Cho, M Lee, D Misra, H Choi, SJ Kim… - arxiv preprint arxiv …, 2024 - arxiv.org
Requiring extensive human supervision is often impractical for continual learning due to its
cost, leading to the emergence of'name-only continual learning'that only provides the name …

Gender Bias Evaluation in Text-to-image Generation: A Survey

Y Wu, Y Nakashima, N Garcia - arxiv preprint arxiv:2408.11358, 2024 - arxiv.org
The rapid development of text-to-image generation has brought rising ethical
considerations, especially regarding gender bias. Given a text prompt as input, text-to-image …

[PDF][PDF] Evaluating Text-to-Image Generated Photorealistic Images of Human Anatomy

P Muhr, Y Pan, C Tumescheit, AK Kübler… - Cureus, 2024 - cureus.com
Background: Generative artificial intelligence (AI) models that can produce photorealistic
images from text descriptions have many applications in medicine, including medical …

Research on Interior Intelligent Design System Based On Image Generation Technology

F Zhang, Z Sun, Q Chen - Procedia Computer Science, 2024 - Elsevier
Abstract This paper uses Stable Diffusion ComfyUI platform to construct a set of artificial
intelligence working system in interior design field. Stable Diffusion is a deep learning image …