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cs.CV2024
E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models
Zhiyu Tan, WenXu Qian, Hesen Chen +3
Diffusion models have established themselves as the de facto primary paradigm in visual generative modeling, revolutionizing the field through remarkable success across various div…
cs.CV2024
EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
Zhiyu Tan, Xiaomeng Yang, Luozheng Qin +3
The recent advancements in text-to-image generative models have been remarkable. Yet, the field suffers from a lack of evaluation metrics that accurately reflect the performance of…
cs.CV2024★ 1 cited
An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation
Zhiyu Tan, Mengping Yang, Luozheng Qin +5
One critical prerequisite for faithful text-to-image generation is the accurate understanding of text inputs. Existing methods leverage the text encoder of the CLIP model to repres…