The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
Fuente:
arXiv
Guardado en:
| Autores principales: | Nie, Shen, Guo, Hanzhong Allan, Lu, Cheng, Zhou, Yuhao, Zheng, Chenyu, Li, Chongxuan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Real-time Identity Defenses against Malicious Personalization of Diffusion Models
por: Guo, Hanzhong, et al.
Publicado: (2024)
por: Guo, Hanzhong, et al.
Publicado: (2024)
Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
por: You, Zebin, et al.
Publicado: (2024)
por: You, Zebin, et al.
Publicado: (2024)
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
por: Li, Ao, et al.
Publicado: (2025)
por: Li, Ao, et al.
Publicado: (2025)
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
por: Li, Junzhe, et al.
Publicado: (2025)
por: Li, Junzhe, et al.
Publicado: (2025)
Pose-Aware Diffusion for 3D Generation
por: Zhou, Zihan, et al.
Publicado: (2026)
por: Zhou, Zihan, et al.
Publicado: (2026)
Decomposing Subject-Driven Image Generation via Intermediate Structural Prediction
por: Guo, Hanzhong, et al.
Publicado: (2026)
por: Guo, Hanzhong, et al.
Publicado: (2026)
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
por: Lu, Cheng, et al.
Publicado: (2022)
por: Lu, Cheng, et al.
Publicado: (2022)
Stable and Near-Reversible Diffusion ODE Solvers for Image Editing
por: Barancikova, Barbora, et al.
Publicado: (2026)
por: Barancikova, Barbora, et al.
Publicado: (2026)
HeartBeat: Towards Controllable Echocardiography Video Synthesis with Multimodal Conditions-Guided Diffusion Models
por: Zhou, Xinrui, et al.
Publicado: (2024)
por: Zhou, Xinrui, et al.
Publicado: (2024)
On the Trajectory Regularity of ODE-based Diffusion Sampling
por: Chen, Defang, et al.
Publicado: (2024)
por: Chen, Defang, et al.
Publicado: (2024)
Real-time One-Step Diffusion-based Expressive Portrait Videos Generation
por: Guo, Hanzhong, et al.
Publicado: (2024)
por: Guo, Hanzhong, et al.
Publicado: (2024)
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
por: Sun, Peize, et al.
Publicado: (2024)
por: Sun, Peize, et al.
Publicado: (2024)
UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
por: Guo, Qin, et al.
Publicado: (2025)
por: Guo, Qin, et al.
Publicado: (2025)
MEMO: Memory-Guided Diffusion for Expressive Talking Video Generation
por: Zheng, Longtao, et al.
Publicado: (2024)
por: Zheng, Longtao, et al.
Publicado: (2024)
Diffusion Beats Autoregressive: An Evaluation of Compositional Generation in Text-to-Image Models
por: Marioriyad, Arash, et al.
Publicado: (2024)
por: Marioriyad, Arash, et al.
Publicado: (2024)
Leveraging Verifier-Based Reinforcement Learning in Image Editing
por: Guo, Hanzhong, et al.
Publicado: (2026)
por: Guo, Hanzhong, et al.
Publicado: (2026)
RotationDrag: Point-based Image Editing with Rotated Diffusion Features
por: Luo, Minxing, et al.
Publicado: (2024)
por: Luo, Minxing, et al.
Publicado: (2024)
Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model
por: Zhao, Min, et al.
Publicado: (2024)
por: Zhao, Min, et al.
Publicado: (2024)
High-Fidelity Diffusion-based Image Editing
por: Hou, Chen, et al.
Publicado: (2023)
por: Hou, Chen, et al.
Publicado: (2023)
Generative Visual Chain-of-Thought for Image Editing
por: Yin, Zijin, et al.
Publicado: (2026)
por: Yin, Zijin, et al.
Publicado: (2026)
TRCE: Towards Reliable Malicious Concept Erasure in Text-to-Image Diffusion Models
por: Chen, Ruidong, et al.
Publicado: (2025)
por: Chen, Ruidong, et al.
Publicado: (2025)
Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
por: Zheng, Shikang, et al.
Publicado: (2025)
por: Zheng, Shikang, et al.
Publicado: (2025)
DeContext as Defense: Safe Image Editing in Diffusion Transformers
por: Shen, Linghui, et al.
Publicado: (2025)
por: Shen, Linghui, et al.
Publicado: (2025)
LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning
por: You, Zebin, et al.
Publicado: (2025)
por: You, Zebin, et al.
Publicado: (2025)
ODE$_t$(ODE$_l$): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling
por: Gudovskiy, Denis, et al.
Publicado: (2025)
por: Gudovskiy, Denis, et al.
Publicado: (2025)
UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformers
por: Zhao, Min, et al.
Publicado: (2025)
por: Zhao, Min, et al.
Publicado: (2025)
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps
por: Zhou, Zhenyu, et al.
Publicado: (2023)
por: Zhou, Zhenyu, et al.
Publicado: (2023)
Spiking Diffusion Models
por: Cao, Jiahang, et al.
Publicado: (2024)
por: Cao, Jiahang, et al.
Publicado: (2024)
Causal Forcing++: Scalable Few-Step Autoregressive Diffusion Distillation for Real-Time Interactive Video Generation
por: Zhao, Min, et al.
Publicado: (2026)
por: Zhao, Min, et al.
Publicado: (2026)
Modality-Composable Diffusion Policy via Inference-Time Distribution-level Composition
por: Cao, Jiahang, et al.
Publicado: (2025)
por: Cao, Jiahang, et al.
Publicado: (2025)
Language Model Beats Diffusion -- Tokenizer is Key to Visual Generation
por: Yu, Lijun, et al.
Publicado: (2023)
por: Yu, Lijun, et al.
Publicado: (2023)
SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models
por: Biner, Burak Can, et al.
Publicado: (2024)
por: Biner, Burak Can, et al.
Publicado: (2024)
In-Context Edit: Enabling Instructional Image Editing with In-Context Generation in Large Scale Diffusion Transformer
por: Zhang, Zechuan, et al.
Publicado: (2025)
por: Zhang, Zechuan, et al.
Publicado: (2025)
Addressing Text Embedding Leakage in Diffusion-based Image Editing
por: Mun, Sunung, et al.
Publicado: (2024)
por: Mun, Sunung, et al.
Publicado: (2024)
Semantic Granularity Navigation in Image Editing
por: Lu, Liangsi, et al.
Publicado: (2026)
por: Lu, Liangsi, et al.
Publicado: (2026)
Effective and Efficient Masked Image Generation Models
por: You, Zebin, et al.
Publicado: (2025)
por: You, Zebin, et al.
Publicado: (2025)
RegionDrag: Fast Region-Based Image Editing with Diffusion Models
por: Lu, Jingyi, et al.
Publicado: (2024)
por: Lu, Jingyi, et al.
Publicado: (2024)
Scaling Diffusion Transformers Efficiently via $μ$P
por: Zheng, Chenyu, et al.
Publicado: (2025)
por: Zheng, Chenyu, et al.
Publicado: (2025)
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing
por: Choi, June Suk, et al.
Publicado: (2024)
por: Choi, June Suk, et al.
Publicado: (2024)
Does Diffusion Beat GAN in Image Super Resolution?
por: Kuznedelev, Denis, et al.
Publicado: (2024)
por: Kuznedelev, Denis, et al.
Publicado: (2024)
Ejemplares similares
-
Real-time Identity Defenses against Malicious Personalization of Diffusion Models
por: Guo, Hanzhong, et al.
Publicado: (2024) -
Are Images Indistinguishable to Humans Also Indistinguishable to Classifiers?
por: You, Zebin, et al.
Publicado: (2024) -
MaRS: A Fast Sampler for Mean Reverting Diffusion based on ODE and SDE Solvers
por: Li, Ao, et al.
Publicado: (2025) -
MixGRPO: Unlocking Flow-based GRPO Efficiency with Mixed ODE-SDE
por: Li, Junzhe, et al.
Publicado: (2025) -
Pose-Aware Diffusion for 3D Generation
por: Zhou, Zihan, et al.
Publicado: (2026)