Cover Image

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yu, Zhou, Jialei, Li, Xinchen, Zhang, Qi, Wan, Zhongwei, Wang, Tianyu, Miao, Duoqian, Wang, Changwei, Cao, Longbing
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Markovian Scale Prediction: A New Era of Visual Autoregressive Generation
by: Zhang, Yu, et al.
Published: (2025)

Adaptive Visual Autoregressive Acceleration via Dual-Linkage Entropy Analysis
by: Zhang, Yu, et al.
Published: (2026)

Swordsman: Entropy-Driven Adaptive Block Partition for Efficient Diffusion Language Models
by: Zhang, Yu, et al.
Published: (2026)

Scaling Down Text Encoders of Text-to-Image Diffusion Models
by: Wang, Lifu, et al.
Published: (2025)

Noise Diffusion for Enhancing Semantic Faithfulness in Text-to-Image Synthesis
by: Miao, Boming, et al.
Published: (2024)

TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models
by: Xiang, Qianlong, et al.
Published: (2026)

Rethinking Global Text Conditioning in Diffusion Transformers
by: Starodubcev, Nikita, et al.
Published: (2026)

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction
by: Gong, Zixuan, et al.
Published: (2024)

From Text to Mask: Localizing Entities Using the Attention of Text-to-Image Diffusion Models
by: Xiao, Changming, et al.
Published: (2023)

Transformer-Based Person Search with High-Frequency Augmentation and Multi-Wave Mixing
by: Shu, Qilin, et al.
Published: (2025)

FreeText: Training-Free Text Rendering in Diffusion Transformers via Attention Localization and Spectral Glyph Injection
by: Zhang, Ruiqiang, et al.
Published: (2026)

EasyText: Controllable Diffusion Transformer for Multilingual Text Rendering
by: Lu, Runnan, et al.
Published: (2025)

Debiasing Text-to-Image Diffusion Models
by: He, Ruifei, et al.
Published: (2024)

Improving Long-Text Alignment for Text-to-Image Diffusion Models
by: Liu, Luping, et al.
Published: (2024)

CountDiffusion: Text-to-Image Synthesis with Training-Free Counting-Guidance Diffusion
by: Li, Yanyu, et al.
Published: (2025)

Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models
by: Wang, Luozhou, et al.
Published: (2023)

CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models
by: Zhang, Gaoyang, et al.
Published: (2024)

Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models
by: Zhang, Yasi, et al.
Published: (2024)

Rethinking the Zigzag Flattening for Image Reading
by: Zhao, Qingsong, et al.
Published: (2022)

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
by: Bao, Guangyin, et al.
Published: (2024)

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
by: Zhang, Yu, et al.
Published: (2024)

DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
by: Zhang, Zheyuan, et al.
Published: (2023)

Progressive Image Restoration via Text-Conditioned Video Generation
by: Kang, Peng, et al.
Published: (2025)

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
by: Yu, Zihao, et al.
Published: (2023)

Uncovering the Text Embedding in Text-to-Image Diffusion Models
by: Yu, Hu, et al.
Published: (2024)

Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model
by: Zhang, Hao, et al.
Published: (2024)

StyleBlend: Enhancing Style-Specific Content Creation in Text-to-Image Diffusion Models
by: Chen, Zichong, et al.
Published: (2025)

Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders
by: Tong, Shengbang, et al.
Published: (2026)

PixelPonder: Dynamic Patch Adaptation for Enhanced Multi-Conditional Text-to-Image Generation
by: Pan, Yanjie, et al.
Published: (2025)

BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment
by: Zhou, Dewei, et al.
Published: (2025)

AsyncDiff: Asynchronous Timestep Conditioning for Enhanced Text-to-Image Diffusion Inference
by: Xu, Longhuan, et al.
Published: (2025)

Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
by: Xu, Xingqian, et al.
Published: (2022)

Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation
by: Wang, Ruoyu, et al.
Published: (2023)

Rhetorical Text-to-Image Generation via Two-layer Diffusion Policy Optimization
by: Zhang, Yuxi, et al.
Published: (2025)

Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning
by: Ruan, Penghui, et al.
Published: (2024)

Evaluating Image Caption via Cycle-consistent Text-to-Image Generation
by: Cui, Tianyu, et al.
Published: (2025)

Local Conditional Controlling for Text-to-Image Diffusion Models
by: Zhao, Yibo, et al.
Published: (2023)

Conditional Text-to-Image Generation with Reference Guidance
by: Kim, Taewook, et al.
Published: (2024)

Progressive Text-to-Image Diffusion with Soft Latent Direction
by: Ye, YuTeng, et al.
Published: (2023)

RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
by: Zhang, Xinchen, et al.
Published: (2024)