Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Hu, Zijing, Tong, Yunze, Zhang, Fengda, Yuan, Junkun, Xiao, Jun, Kuang, Kun |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples
by: Hu, Zijing, et al.
Published: (2025)
by: Hu, Zijing, et al.
Published: (2025)
Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models
by: Tong, Yunze, et al.
Published: (2025)
by: Tong, Yunze, et al.
Published: (2025)
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
by: Hu, Zijing, et al.
Published: (2025)
by: Hu, Zijing, et al.
Published: (2025)
Distributionally Generative Augmentation for Fair Facial Attribute Classification
by: Zhang, Fengda, et al.
Published: (2024)
by: Zhang, Fengda, et al.
Published: (2024)
Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
by: Shen, Yutao, et al.
Published: (2025)
by: Shen, Yutao, et al.
Published: (2025)
FDS: Frequency-Aware Denoising Score for Text-Guided Latent Diffusion Image Editing
by: Ren, Yufan, et al.
Published: (2025)
by: Ren, Yufan, et al.
Published: (2025)
Skill-Aligned Annotation for Reliable Evaluation in Text-to-Image Generation
by: Eldesokey, Abdelrahman, et al.
Published: (2026)
by: Eldesokey, Abdelrahman, et al.
Published: (2026)
AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising
by: Chen, Zigeng, et al.
Published: (2024)
by: Chen, Zigeng, et al.
Published: (2024)
Fast-DDPM: Fast Denoising Diffusion Probabilistic Models for Medical Image-to-Image Generation
by: Jiang, Hongxu, et al.
Published: (2024)
by: Jiang, Hongxu, et al.
Published: (2024)
ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models and Large Language Models
by: Zhang, Jianyi, et al.
Published: (2024)
by: Zhang, Jianyi, et al.
Published: (2024)
Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception
by: Pang, Ziqi, et al.
Published: (2025)
by: Pang, Ziqi, et al.
Published: (2025)
Stimulating Diffusion Model for Image Denoising via Adaptive Embedding and Ensembling
by: Li, Tong, et al.
Published: (2023)
by: Li, Tong, et al.
Published: (2023)
Physics-aware Hand-object Interaction Denoising
by: Luo, Haowen, et al.
Published: (2024)
by: Luo, Haowen, et al.
Published: (2024)
Bridging the Gap: Aligning Text-to-Image Diffusion Models with Specific Feedback
by: Niu, Xuexiang, et al.
Published: (2024)
by: Niu, Xuexiang, et al.
Published: (2024)
Feature Denoising Diffusion Model for Blind Image Quality Assessment
by: Li, Xudong, et al.
Published: (2024)
by: Li, Xudong, et al.
Published: (2024)
TINA: Text-Free Inversion Attack for Unlearned Text-to-Image Diffusion Models
by: Xiang, Qianlong, et al.
Published: (2026)
by: Xiang, Qianlong, et al.
Published: (2026)
Diffusion Priors for Variational Likelihood Estimation and Image Denoising
by: Cheng, Jun, et al.
Published: (2024)
by: Cheng, Jun, et al.
Published: (2024)
Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework
by: Jiang, Junkun, et al.
Published: (2024)
by: Jiang, Junkun, et al.
Published: (2024)
TextRegion: Text-Aligned Region Tokens from Frozen Image-Text Models
by: Xiao, Yao, et al.
Published: (2025)
by: Xiao, Yao, et al.
Published: (2025)
GRAN-TED: Generating Robust, Aligned, and Nuanced Text Embedding for Diffusion Models
by: Li, Bozhou, et al.
Published: (2025)
by: Li, Bozhou, et al.
Published: (2025)
AsyncDiff: Asynchronous Timestep Conditioning for Enhanced Text-to-Image Diffusion Inference
by: Xu, Longhuan, et al.
Published: (2025)
by: Xu, Longhuan, et al.
Published: (2025)
DiT-Air: Revisiting the Efficiency of Diffusion Model Architecture Design in Text to Image Generation
by: Chen, Chen, et al.
Published: (2025)
by: Chen, Chen, et al.
Published: (2025)
Fair Text to Medical Image Diffusion Model with Subgroup Distribution Aligned Tuning
by: Han, Xu, et al.
Published: (2024)
by: Han, Xu, et al.
Published: (2024)
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
by: Tian, Ye, et al.
Published: (2025)
by: Tian, Ye, et al.
Published: (2025)
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)
SceneCraft: Layout-Guided 3D Scene Generation
by: Yang, Xiuyu, et al.
Published: (2024)
by: Yang, Xiuyu, et al.
Published: (2024)
Disciplined Diffusion: Text-to-Image Diffusion Model against NSFW Generation
by: Zhang, Chi, et al.
Published: (2026)
by: Zhang, Chi, et al.
Published: (2026)
Bridging the Intention-Expression Gap: Aligning Multi-Dimensional Preferences via Hierarchical Relevance Feedback in Text-to-Image Diffusion
by: Wang, Wenxi, et al.
Published: (2026)
by: Wang, Wenxi, et al.
Published: (2026)
Brick-Diffusion: Generating Long Videos with Brick-to-Wall Denoising
by: Yuan, Yunlong, et al.
Published: (2025)
by: Yuan, Yunlong, et al.
Published: (2025)
Step Saver: Predicting Minimum Denoising Steps for Diffusion Model Image Generation
by: Yu, Jean, et al.
Published: (2024)
by: Yu, Jean, 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)
by: Xiao, Changming, et al.
Published: (2023)
A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
by: Yang, Shentao, et al.
Published: (2024)
by: Yang, Shentao, et al.
Published: (2024)
Directly Denoising Diffusion Models
by: Zhang, Dan, et al.
Published: (2024)
by: Zhang, Dan, et al.
Published: (2024)
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
by: Li, Xinhai, et al.
Published: (2023)
by: Li, Xinhai, et al.
Published: (2023)
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
by: Zhang, Zhengbo, et al.
Published: (2024)
by: Zhang, Zhengbo, et al.
Published: (2024)
DART: Denoising Autoregressive Transformer for Scalable Text-to-Image Generation
by: Gu, Jiatao, et al.
Published: (2024)
by: Gu, Jiatao, et al.
Published: (2024)
Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps
by: Ma, Nanye, et al.
Published: (2025)
by: Ma, Nanye, et al.
Published: (2025)
Denoise and Align: Diffusion-Driven Foreground Knowledge Prompting for Open-Vocabulary Temporal Action Detection
by: Zhu, Sa, et al.
Published: (2026)
by: Zhu, Sa, et al.
Published: (2026)
Optimizing for the Shortest Path in Denoising Diffusion Model
by: Chen, Ping, et al.
Published: (2025)
by: Chen, Ping, et al.
Published: (2025)
Diff-Aid: Inference-time Adaptive Interaction Denoising for Rectified Text-to-Image Generation
by: Li, Binglei, et al.
Published: (2026)
by: Li, Binglei, et al.
Published: (2026)
Similar Items
-
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples
by: Hu, Zijing, et al.
Published: (2025) -
Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models
by: Tong, Yunze, et al.
Published: (2025) -
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards
by: Hu, Zijing, et al.
Published: (2025) -
Distributionally Generative Augmentation for Fair Facial Attribute Classification
by: Zhang, Fengda, et al.
Published: (2024) -
Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
by: Shen, Yutao, et al.
Published: (2025)