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cs.CV2025

DialogGen: Multi-modal Interactive Dialogue System for Multi-turn Text-to-Image Generation

Minbin Huang, Yanxin Long, Xinchi Deng +6

Text-to-image (T2I) generation models have significantly advanced in recent years. However, effective interaction with these models is challenging for average users due to the need…

cs.CV2024

Local Conditional Controlling for Text-to-Image Diffusion Models

Yibo Zhao, Liang Peng, Yang Yang +9

Diffusion models have exhibited impressive prowess in the text-to-image task. Recent methods add image-level structure controls, e.g., edge and depth maps, to manipulate the genera…

cs.CV2024

LoRA-Composer: Leveraging Low-Rank Adaptation for Multi-Concept Customization in Training-Free Diffusion Models

Yang Yang, Wen Wang, Liang Peng +8

Customization generation techniques have significantly advanced the synthesis of specific concepts across varied contexts. Multi-concept customization emerges as the challenging ta…

cs.CV2024

Searching Priors Makes Text-to-Video Synthesis Better

Haoran Cheng, Liang Peng, Linxuan Xia +5

Significant advancements in video diffusion models have brought substantial progress to the field of text-to-video (T2V) synthesis. However, existing T2V synthesis model struggle t…

cs.CV2024

Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Zhimin Li, Jianwei Zhang, Qin Lin +42

We present Hunyuan-DiT, a text-to-image diffusion transformer with fine-grained understanding of both English and Chinese. To construct Hunyuan-DiT, we carefully design the transfo…