Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Fu-Yun, Sun, Keqiang, Teng, Yao, Liu, Xihui, Yuan, Jiale, Song, Jiaming, Li, Hongsheng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models
by: Wu, Xiaoshi, et al.
Published: (2024)
by: Wu, Xiaoshi, et al.
Published: (2024)
Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning
by: Wang, Yifan, et al.
Published: (2026)
by: Wang, Yifan, et al.
Published: (2026)
ECNet: Effective Controllable Text-to-Image Diffusion Models
by: Li, Sicheng, et al.
Published: (2024)
by: Li, Sicheng, et al.
Published: (2024)
Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
by: Chen, Chubin, et al.
Published: (2025)
by: Chen, Chubin, et al.
Published: (2025)
FreeFix: Boosting 3D Gaussian Splatting via Fine-Tuning-Free Diffusion Models
by: Zhou, Hongyu, et al.
Published: (2026)
by: Zhou, Hongyu, et al.
Published: (2026)
Adaptive 1D Video Diffusion Autoencoder
by: Teng, Yao, et al.
Published: (2026)
by: Teng, Yao, et al.
Published: (2026)
Personalized Preference Fine-tuning of Diffusion Models
by: Dang, Meihua, et al.
Published: (2025)
by: Dang, Meihua, et al.
Published: (2025)
FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models
by: Wu, Wei, et al.
Published: (2024)
by: Wu, Wei, et al.
Published: (2024)
FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion
by: Qiu, Haonan, et al.
Published: (2024)
by: Qiu, Haonan, et al.
Published: (2024)
Personalized Text-to-Image Generation with Auto-Regressive Models
by: Sun, Kaiyue, et al.
Published: (2025)
by: Sun, Kaiyue, et al.
Published: (2025)
Cubic Discrete Diffusion: Discrete Visual Generation on High-Dimensional Representation Tokens
by: Wang, Yuqing, et al.
Published: (2026)
by: Wang, Yuqing, et al.
Published: (2026)
AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data
by: Wang, Fu-Yun, et al.
Published: (2024)
by: Wang, Fu-Yun, et al.
Published: (2024)
Self-Play Fine-Tuning of Diffusion Models for Text-to-Image Generation
by: Yuan, Huizhuo, et al.
Published: (2024)
by: Yuan, Huizhuo, et al.
Published: (2024)
Stable Consistency Tuning: Understanding and Improving Consistency Models
by: Wang, Fu-Yun, et al.
Published: (2024)
by: Wang, Fu-Yun, et al.
Published: (2024)
DomainStudio: Fine-Tuning Diffusion Models for Domain-Driven Image Generation using Limited Data
by: Zhu, Jingyuan, et al.
Published: (2023)
by: Zhu, Jingyuan, et al.
Published: (2023)
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
by: Wang, Fu-Yun, et al.
Published: (2024)
by: Wang, Fu-Yun, et al.
Published: (2024)
Stable-Makeup: When Real-World Makeup Transfer Meets Diffusion Model
by: Zhang, Yuxuan, et al.
Published: (2024)
by: Zhang, Yuxuan, et al.
Published: (2024)
ShortFT: Diffusion Model Alignment via Shortcut-based Fine-Tuning
by: Guo, Xiefan, et al.
Published: (2025)
by: Guo, Xiefan, et al.
Published: (2025)
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights
by: Yao, Dixi
Published: (2024)
by: Yao, Dixi
Published: (2024)
Discrepancy-based Diffusion Models for Lesion Detection in Brain MRI
by: Fan, Keqiang, et al.
Published: (2024)
by: Fan, Keqiang, et al.
Published: (2024)
Training-Free Anomaly Generation via Dual-Attention Enhancement in Diffusion Model
by: Zuo, Zuo, et al.
Published: (2025)
by: Zuo, Zuo, et al.
Published: (2025)
LVSA: Training-Free Sparse Attention for Long Video Diffusion
by: Glorian, Gael, et al.
Published: (2026)
by: Glorian, Gael, et al.
Published: (2026)
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)
by: Liao, Bencheng, et al.
Published: (2024)
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models
by: Zhang, Xinxi, et al.
Published: (2024)
by: Zhang, Xinxi, et al.
Published: (2024)
DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
by: Teng, Yao, et al.
Published: (2024)
by: Teng, Yao, et al.
Published: (2024)
Post-Training Quantization via Residual Truncation and Zero Suppression for Diffusion Models
by: Kim, Donghoon, et al.
Published: (2025)
by: Kim, Donghoon, et al.
Published: (2025)
DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving
by: Zou, Jialv, et al.
Published: (2025)
by: Zou, Jialv, 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)
FreeMorph: Tuning-Free Generalized Image Morphing with Diffusion Model
by: Cao, Yukang, et al.
Published: (2025)
by: Cao, Yukang, et al.
Published: (2025)
FreeTraj: Tuning-Free Trajectory Control in Video Diffusion Models
by: Qiu, Haonan, et al.
Published: (2024)
by: Qiu, Haonan, et al.
Published: (2024)
FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling
by: Qiu, Haonan, et al.
Published: (2023)
by: Qiu, Haonan, et al.
Published: (2023)
4Diffusion: Multi-view Video Diffusion Model for 4D Generation
by: Zhang, Haiyu, et al.
Published: (2024)
by: Zhang, Haiyu, et al.
Published: (2024)
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
by: Clark, Kevin, et al.
Published: (2023)
by: Clark, Kevin, et al.
Published: (2023)
Memory-Efficient Fine-Tuning for Quantized Diffusion Model
by: Ryu, Hyogon, et al.
Published: (2024)
by: Ryu, Hyogon, et al.
Published: (2024)
Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models
by: Ma, Bingqi, et al.
Published: (2024)
by: Ma, Bingqi, et al.
Published: (2024)
Geodesic Diffusion Models for Efficient Medical Image Enhancement
by: Zhang, Teng, et al.
Published: (2025)
by: Zhang, Teng, et al.
Published: (2025)
Differentially Private Fine-Tuning of Diffusion Models
by: Tsai, Yu-Lin, et al.
Published: (2024)
by: Tsai, Yu-Lin, et al.
Published: (2024)
VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL
by: Dai, Fengyuan, et al.
Published: (2025)
by: Dai, Fengyuan, et al.
Published: (2025)
Tuning-Free Image Editing with Fidelity and Editability via Unified Latent Diffusion Model
by: Mao, Qi, et al.
Published: (2025)
by: Mao, Qi, et al.
Published: (2025)
Similar Items
-
Diffusion-NPO: Negative Preference Optimization for Better Preference Aligned Generation of Diffusion Models
by: Wang, Fu-Yun, et al.
Published: (2025) -
Deep Reward Supervisions for Tuning Text-to-Image Diffusion Models
by: Wu, Xiaoshi, et al.
Published: (2024) -
Diffusion-DRF: Free, Rich, and Differentiable Reward for Video Diffusion Fine-Tuning
by: Wang, Yifan, et al.
Published: (2026) -
ECNet: Effective Controllable Text-to-Image Diffusion Models
by: Li, Sicheng, et al.
Published: (2024) -
Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
by: Chen, Chubin, et al.
Published: (2025)