Cover Image

Fine-T2I: An Open, Large-Scale, and Diverse Dataset for High-Quality T2I Fine-Tuning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Xu, Zhang, Yitian, Dong, Qihua, Fu, Yun
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation
by: Li, Hui, et al.
Published: (2024)

PET-F2I: A Comprehensive Benchmark and Parameter-Efficient Fine-Tuning of LLMs for PET/CT Report Impression Generation
by: Liu, Yuchen, et al.
Published: (2026)

OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction
by: Zhao, Hongbo, et al.
Published: (2024)

T2I-FineEval: Fine-Grained Compositional Metric for Text-to-Image Evaluation
by: Hosseini, Seyed Mohammad Hadi, et al.
Published: (2025)

BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation
by: Pan, Yulu, et al.
Published: (2025)

Parameter-Efficient Fine-Tuning of DINOv2 for Large-Scale Font Classification
by: Chen, Daniel, et al.
Published: (2026)

Skeleton2Stage: Reward-Guided Fine-Tuning for Physically Plausible Dance Generation
by: Jia, Jidong, et al.
Published: (2026)

MagicMirror: A Large-Scale Dataset and Benchmark for Fine-Grained Artifacts Assessment in Text-to-Image Generation
by: Wang, Jia, et al.
Published: (2025)

Decoupled Training with Local Reinforcement Fine-Tuning in Federated Learning
by: Ma, Yuting, et al.
Published: (2026)

Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception
by: Shi, Yuheng, et al.
Published: (2025)

Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models
by: Zhang, Mingyuan, et al.
Published: (2025)

MMInstruct: A High-Quality Multi-Modal Instruction Tuning Dataset with Extensive Diversity
by: Liu, Yangzhou, et al.
Published: (2024)

OpenVE-3M: A Large-Scale High-Quality Dataset for Instruction-Guided Video Editing
by: He, Haoyang, et al.
Published: (2025)

Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning
by: Wang, Yifan, et al.
Published: (2026)

Multi-Task Dense Prediction Fine-Tuning with Mixture of Fine-Grained Experts
by: Xu, Yangyang, et al.
Published: (2025)

The Intricate Dance of Prompt Complexity, Quality, Diversity, and Consistency in T2I Models
by: Xiaofeng, Zhang, et al.
Published: (2025)

OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation
by: Nan, Kepan, et al.
Published: (2024)

Car-1000: A New Large Scale Fine-Grained Visual Categorization Dataset
by: Hu, Yutao, et al.
Published: (2025)

RB-FT: Rationale-Bootstrapped Fine-Tuning for Video Classification
by: Xu, Meilong, et al.
Published: (2025)

Large Pre-Training Datasets Don't Always Guarantee Robustness after Fine-Tuning
by: Hwang, Jaedong, et al.
Published: (2024)

MTS-DMAE: Dual-Masked Autoencoder for Unsupervised Multivariate Time Series Representation Learning
by: Xu, Yi, et al.
Published: (2025)

A Large-Scale Remote Sensing Dataset and VLM-based Algorithm for Fine-Grained Road Hierarchy Classification
by: Han, Ting, et al.
Published: (2026)

S2FT: Parameter-Efficient Fine-Tuning in Sparse Spectrum Domain
by: Zhang, Baoquan, et al.
Published: (2026)

Fine-Tuning Open Video Generators for Cinematic Scene Synthesis: A Small-Data Pipeline with LoRA and Wan2.1 I2V
by: Akarsu, Meftun, et al.
Published: (2025)

SynthVerse: A Large-Scale Diverse Synthetic Dataset for Point Tracking
by: Zhao, Weiguang, et al.
Published: (2026)

Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation
by: Chen, Yanda, et al.
Published: (2025)

Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg
by: Long, Yitian, et al.
Published: (2025)

Visual-RFT: Visual Reinforcement Fine-Tuning
by: Liu, Ziyu, et al.
Published: (2025)

A Novel Adaptive Fine-Tuning Algorithm for Multimodal Models: Self-Optimizing Classification and Selection of High-Quality Datasets in Remote Sensing
by: Ren, Yi, et al.
Published: (2024)

On the Suitability of Reinforcement Fine-Tuning to Visual Tasks
by: Chen, Xiaxu, et al.
Published: (2025)

Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning
by: Wang, Fu-Yun, et al.
Published: (2025)

ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving
by: Guo, Xianda, et al.
Published: (2025)

Lossless Token Merging Even Without Fine-Tuning in Vision Transformers
by: Lee, Jaeyeon, et al.
Published: (2025)

Semantic Hierarchical Prompt Tuning for Parameter-Efficient Fine-Tuning
by: Zhu, Haowei, et al.
Published: (2024)

Mesh-RFT: Enhancing Mesh Generation via Fine-grained Reinforcement Fine-Tuning
by: Liu, Jian, et al.
Published: (2025)

FriendsQA: A New Large-Scale Deep Video Understanding Dataset with Fine-grained Topic Categorization for Story Videos
by: Wu, Zhengqian, et al.
Published: (2024)

Gradient-based Parameter Selection for Efficient Fine-Tuning
by: Zhang, Zhi, et al.
Published: (2023)

ReefNet: A Large-Scale Dataset and Benchmark for Fine-Grained Coral Reef Recognition
by: Felemban, Abdulwahab, et al.
Published: (2025)

Learning Domain Knowledge in Multimodal Large Language Models through Reinforcement Fine-Tuning
by: Cao, Qinglong, et al.
Published: (2026)

Detecting Dataset Abuse in Fine-Tuning Stable Diffusion Models for Text-to-Image Synthesis
by: Wang, Songrui, et al.
Published: (2024)