Copertina

An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tan, Zhiyu, Yang, Mengping, Qin, Luozheng, Yang, Hao, Qian, Ye, Zhou, Qiang, Zhang, Cheng, Li, Hao
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

EVALALIGN: Supervised Fine-Tuning Multimodal LLMs with Human-Aligned Data for Evaluating Text-to-Image Models
di: Tan, Zhiyu, et al.
Pubblicazione: (2024)

Dual-IPO: Dual-Iterative Preference Optimization for Text-to-Video Generation
di: Yang, Xiaomeng, et al.
Pubblicazione: (2025)

Omni-Video: Democratizing Unified Video Understanding and Generation
di: Tan, Zhiyu, et al.
Pubblicazione: (2025)

VidGen-1M: A Large-Scale Dataset for Text-to-video Generation
di: Tan, Zhiyu, et al.
Pubblicazione: (2024)

Cockatiel: Ensembling Synthetic and Human Preferenced Training for Detailed Video Caption
di: Qin, Luozheng, et al.
Pubblicazione: (2025)

Diff-Aid: Inference-time Adaptive Interaction Denoising for Rectified Text-to-Image Generation
di: Li, Binglei, et al.
Pubblicazione: (2026)

Uni-cot: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
di: Qin, Luozheng, et al.
Pubblicazione: (2025)

Omni-Video 2: Scaling MLLM-Conditioned Diffusion for Unified Video Generation and Editing
di: Yang, Hao, et al.
Pubblicazione: (2026)

Raccoon: Multi-stage Diffusion Training with Coarse-to-Fine Curating Videos
di: Tan, Zhiyu, et al.
Pubblicazione: (2025)

Unraveling MMDiT Blocks: Training-free Analysis and Enhancement of Text-conditioned Diffusion
di: Li, Binglei, et al.
Pubblicazione: (2026)

DiverseDiT: Towards Diverse Representation Learning in Diffusion Transformers
di: Yang, Mengping, et al.
Pubblicazione: (2026)

Attention Calibration for Disentangled Text-to-Image Personalization
di: Zhang, Yanbing, et al.
Pubblicazione: (2024)

E2ED^2:Direct Mapping from Noise to Data for Enhanced Diffusion Models
di: Tan, Zhiyu, et al.
Pubblicazione: (2024)

Uni-ViGU: Towards Unified Video Generation and Understanding via A Diffusion-Based Video Generator
di: Qin, Luozheng, et al.
Pubblicazione: (2026)

On Large Visual Language Models for Medical Imaging Analysis: An Empirical Study
di: Van, Minh-Hao, et al.
Pubblicazione: (2024)

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation
di: Wang, Junyan, et al.
Pubblicazione: (2024)

Motion Control for Enhanced Complex Action Video Generation
di: Zhou, Qiang, et al.
Pubblicazione: (2024)

LiFT: Leveraging Human Feedback for Text-to-Video Model Alignment
di: Wang, Yibin, et al.
Pubblicazione: (2024)

Image Synthesis under Limited Data: A Survey and Taxonomy
di: Yang, Mengping, et al.
Pubblicazione: (2023)

DTVI: Dual-Stage Textual and Visual Intervention for Safe Text-to-Image Generation
di: Tan, Binhong, et al.
Pubblicazione: (2026)

TextFusion: Unveiling the Power of Textual Semantics for Controllable Image Fusion
di: Cheng, Chunyang, et al.
Pubblicazione: (2023)

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers
di: Zhang, Yanbing, et al.
Pubblicazione: (2025)

Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis
di: Chen, Muxi, et al.
Pubblicazione: (2024)

Narrowing Information Bottleneck Theory for Multimodal Image-Text Representations Interpretability
di: Zhu, Zhiyu, et al.
Pubblicazione: (2025)

SARA: Structural and Adversarial Representation Alignment for Training-efficient Diffusion Models
di: Chen, Hesen, et al.
Pubblicazione: (2025)

Self-Rewarding Large Vision-Language Models for Optimizing Prompts in Text-to-Image Generation
di: Yang, Hongji, et al.
Pubblicazione: (2025)

OrienText: Surface Oriented Textual Image Generation
di: Paliwal, Shubham Singh, et al.
Pubblicazione: (2025)

MLIP: Medical Language-Image Pre-training with Masked Local Representation Learning
di: Liu, Jiarun, et al.
Pubblicazione: (2024)

Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis
di: Liu, Zichuan, et al.
Pubblicazione: (2025)

Efficient Personalized Text-to-image Generation by Leveraging Textual Subspace
di: Du, Shian, et al.
Pubblicazione: (2024)

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation
di: Zhao, Chenxi, et al.
Pubblicazione: (2026)

SIPO: Stabilized and Improved Preference Optimization for Aligning Diffusion Models
di: Yang, Xiaomeng, et al.
Pubblicazione: (2025)

Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models
di: Cheng, Hao, et al.
Pubblicazione: (2024)

A Preliminary Study on GPT-Image Generation Model for Image Restoration
di: Yang, Hao, et al.
Pubblicazione: (2025)

Bridging Visual Affective Gap: Borrowing Textual Knowledge by Learning from Noisy Image-Text Pairs
di: Wu, Daiqing, et al.
Pubblicazione: (2025)

Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model
di: Cheng, Sheng, et al.
Pubblicazione: (2024)

Directional Textual Inversion for Personalized Text-to-Image Generation
di: Kim, Kunhee, et al.
Pubblicazione: (2025)

TextToucher: Fine-Grained Text-to-Touch Generation
di: Tu, Jiahang, et al.
Pubblicazione: (2024)

Aligning Medical Images with General Knowledge from Large Language Models
di: Fang, Xiao, et al.
Pubblicazione: (2024)

From Image to Video: An Empirical Study of Diffusion Representations
di: Vélez, Pedro, et al.
Pubblicazione: (2025)