Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Ma, Bingqi, Zong, Zhuofan, Song, Guanglu, Li, Hongsheng, Liu, Yu |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
by: Zong, Zhuofan, et al.
Published: (2024)
by: Zong, Zhuofan, et al.
Published: (2024)
ADT: Tuning Diffusion Models with Adversarial Supervision
by: Shen, Dazhong, et al.
Published: (2025)
by: Shen, Dazhong, et al.
Published: (2025)
MoVA: Adapting Mixture of Vision Experts to Multimodal Context
by: Zong, Zhuofan, et al.
Published: (2024)
by: Zong, Zhuofan, et al.
Published: (2024)
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning
by: Shao, Hao, et al.
Published: (2024)
by: Shao, Hao, et al.
Published: (2024)
VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping
by: Shao, Hao, et al.
Published: (2024)
by: Shao, Hao, et al.
Published: (2024)
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
by: Jiang, Dongzhi, et al.
Published: (2024)
by: Jiang, Dongzhi, et al.
Published: (2024)
RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths
by: Xue, Zeyue, et al.
Published: (2023)
by: Xue, Zeyue, et al.
Published: (2023)
High-Fidelity Diffusion Face Swapping with ID-Constrained Facial Conditioning
by: He, Dailan, et al.
Published: (2025)
by: He, Dailan, et al.
Published: (2025)
AR-CoPO: Align Autoregressive Video Generation with Contrastive Policy Optimization
by: He, Dailan, et al.
Published: (2026)
by: He, Dailan, et al.
Published: (2026)
Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models
by: He, Dailan, et al.
Published: (2025)
by: He, Dailan, et al.
Published: (2025)
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models
by: Wu, Xiaoshi, et al.
Published: (2024)
by: Wu, Xiaoshi, et al.
Published: (2024)
Improving Joint Audio-Video Generation with Cross-Modal Context Learning
by: Ma, Bingqi, et al.
Published: (2026)
by: Ma, Bingqi, et al.
Published: (2026)
FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis
by: Huang, Linjiang, et al.
Published: (2024)
by: Huang, Linjiang, et al.
Published: (2024)
GSVA: Generalized Segmentation via Multimodal Large Language Models
by: Xia, Zhuofan, et al.
Published: (2023)
by: Xia, Zhuofan, et al.
Published: (2023)
DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving
by: Zhou, Yang, et al.
Published: (2026)
by: Zhou, Yang, et al.
Published: (2026)
UniFormer: Unifying Convolution and Self-attention for Visual Recognition
by: Li, Kunchang, et al.
Published: (2022)
by: Li, Kunchang, et al.
Published: (2022)
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models
by: Lian, Long, et al.
Published: (2023)
by: Lian, Long, et al.
Published: (2023)
Exploring the Role of Explicit Temporal Modeling in Multimodal Large Language Models for Video Understanding
by: Li, Yun, et al.
Published: (2025)
by: Li, Yun, et al.
Published: (2025)
Enhancing Vision-Language Model with Unmasked Token Alignment
by: Liu, Jihao, et al.
Published: (2024)
by: Liu, Jihao, et al.
Published: (2024)
Poisoning Prompt-Guided Sampling in Video Large Language Models
by: Cao, Yuxin, et al.
Published: (2025)
by: Cao, Yuxin, et al.
Published: (2025)
Multi-Turn Adaptive Prompting Attack on Large Vision-Language Models
by: Choi, In Chong, et al.
Published: (2026)
by: Choi, In Chong, et al.
Published: (2026)
Be-Your-Outpainter: Mastering Video Outpainting through Input-Specific Adaptation
by: Wang, Fu-Yun, et al.
Published: (2024)
by: Wang, Fu-Yun, et al.
Published: (2024)
Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel Decoding
by: Yu, Runpeng, et al.
Published: (2025)
by: Yu, Runpeng, et al.
Published: (2025)
See Further When Clear: Curriculum Consistency Model
by: Liu, Yunpeng, et al.
Published: (2024)
by: Liu, Yunpeng, et al.
Published: (2024)
Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning
by: Wang, Fu-Yun, et al.
Published: (2025)
by: Wang, Fu-Yun, et al.
Published: (2025)
LMGenDrive: Bridging Multimodal Understanding and Generative World Modeling for End-to-End Driving
by: Shao, Hao, et al.
Published: (2026)
by: Shao, Hao, et al.
Published: (2026)
Revisiting Multimodal Positional Encoding in Vision-Language Models
by: Huang, Jie, et al.
Published: (2025)
by: Huang, Jie, et al.
Published: (2025)
Salt: Self-Consistent Distribution Matching with Cache-Aware Training for Fast Video Generation
by: Ge, Xingtong, et al.
Published: (2026)
by: Ge, Xingtong, et al.
Published: (2026)
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
by: Li, Ruibin, et al.
Published: (2024)
by: Li, Ruibin, et al.
Published: (2024)
Unmasking Bias in Diffusion Model Training
by: Yu, Hu, et al.
Published: (2023)
by: Yu, Hu, et al.
Published: (2023)
FullStack-Agent: Enhancing Agentic Full-Stack Web Coding via Development-Oriented Testing and Repository Back-Translation
by: Lu, Zimu, et al.
Published: (2026)
by: Lu, Zimu, et al.
Published: (2026)
Modeling Variants of Prompts for Vision-Language Models
by: Li, Ao, et al.
Published: (2025)
by: Li, Ao, et al.
Published: (2025)
Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
by: Shen, Dazhong, et al.
Published: (2024)
by: Shen, Dazhong, et al.
Published: (2024)
OCCDiff: Occupancy Diffusion Model for High-Fidelity 3D Building Reconstruction from Noisy Point Clouds
by: Sui, Jialu, et al.
Published: (2025)
by: Sui, Jialu, et al.
Published: (2025)
GLID: Pre-training a Generalist Encoder-Decoder Vision Model
by: Liu, Jihao, et al.
Published: (2024)
by: Liu, Jihao, et al.
Published: (2024)
VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models
by: Xu, Mingjie, et al.
Published: (2025)
by: Xu, Mingjie, et al.
Published: (2025)
LLaDA-MedV: Exploring Large Language Diffusion Models for Biomedical Image Understanding
by: Dong, Xuanzhao, et al.
Published: (2025)
by: Dong, Xuanzhao, et al.
Published: (2025)
Attention Prompting on Image for Large Vision-Language Models
by: Yu, Runpeng, et al.
Published: (2024)
by: Yu, Runpeng, et al.
Published: (2024)
Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
by: Wang, Fu-Yun, et al.
Published: (2025)
by: Wang, Fu-Yun, et al.
Published: (2025)
DEEM: Diffusion Models Serve as the Eyes of Large Language Models for Image Perception
by: Luo, Run, et al.
Published: (2024)
by: Luo, Run, et al.
Published: (2024)
Similar Items
-
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM
by: Zong, Zhuofan, et al.
Published: (2024) -
ADT: Tuning Diffusion Models with Adversarial Supervision
by: Shen, Dazhong, et al.
Published: (2025) -
MoVA: Adapting Mixture of Vision Experts to Multimodal Context
by: Zong, Zhuofan, et al.
Published: (2024) -
Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning
by: Shao, Hao, et al.
Published: (2024) -
VividFace: A Diffusion-Based Hybrid Framework for High-Fidelity Video Face Swapping
by: Shao, Hao, et al.
Published: (2024)