Analyzing and Mitigating Model Collapse in Rectified Flow Models
Fuente:
arXiv
Guardado en:
| Autores principales: | Zhu, Huminhao, Wang, Fangyikang, Ding, Tianyu, Qu, Qing, Zhu, Zhihui |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
por: Wang, Fangyikang, et al.
Publicado: (2024)
por: Wang, Fangyikang, et al.
Publicado: (2024)
Free Lunch for Stabilizing Rectified Flow Inversion
por: Wang, Chenru, et al.
Publicado: (2026)
por: Wang, Chenru, et al.
Publicado: (2026)
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
por: Li, Xiao, et al.
Publicado: (2025)
por: Li, Xiao, et al.
Publicado: (2025)
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
por: Wang, Fangyikang, et al.
Publicado: (2025)
por: Wang, Fangyikang, et al.
Publicado: (2025)
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse
por: Li, Xiao, et al.
Publicado: (2022)
por: Li, Xiao, et al.
Publicado: (2022)
Steering Rectified Flow Models in the Vector Field for Controlled Image Generation
por: Patel, Maitreya, et al.
Publicado: (2024)
por: Patel, Maitreya, et al.
Publicado: (2024)
Towards Hierarchical Rectified Flow
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
Variational Rectified Flow Matching
por: Guo, Pengsheng, et al.
Publicado: (2025)
por: Guo, Pengsheng, et al.
Publicado: (2025)
Generalization and Memorization in Rectified Flow
por: Rao, Mingxing, et al.
Publicado: (2026)
por: Rao, Mingxing, et al.
Publicado: (2026)
SCoT: Unifying Consistency Models and Rectified Flows via Straight-Consistent Trajectories
por: Wu, Zhangkai, et al.
Publicado: (2025)
por: Wu, Zhangkai, et al.
Publicado: (2025)
Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models
por: Jiang, Jiachen, et al.
Publicado: (2025)
por: Jiang, Jiachen, et al.
Publicado: (2025)
Delta Rectified Flow Sampling for Text-to-Image Editing
por: Beaudouin, Gaspard, et al.
Publicado: (2025)
por: Beaudouin, Gaspard, et al.
Publicado: (2025)
Tracing Representation Progression: Analyzing and Enhancing Layer-Wise Similarity
por: Jiang, Jiachen, et al.
Publicado: (2024)
por: Jiang, Jiachen, et al.
Publicado: (2024)
AlphaFlow: Understanding and Improving MeanFlow Models
por: Zhang, Huijie, et al.
Publicado: (2025)
por: Zhang, Huijie, et al.
Publicado: (2025)
MixFlow: Mixed Source Distributions Improve Rectified Flows
por: Nayal, Nazir, et al.
Publicado: (2026)
por: Nayal, Nazir, et al.
Publicado: (2026)
Entropy Minimization without Model Collapse: Mitigating Prediction Bias in Medical Imaging
por: Nielen, Tim, et al.
Publicado: (2026)
por: Nielen, Tim, et al.
Publicado: (2026)
CaReFlow: Cyclic Adaptive Rectified Flow for Multimodal Fusion
por: Mai, Sijie, et al.
Publicado: (2026)
por: Mai, Sijie, et al.
Publicado: (2026)
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
por: Wang, Chao, et al.
Publicado: (2025)
por: Wang, Chao, et al.
Publicado: (2025)
Hierarchical Rectified Flow Matching with Mini-Batch Couplings
por: Zhang, Yichi, et al.
Publicado: (2025)
por: Zhang, Yichi, et al.
Publicado: (2025)
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
por: Sun, Zhicheng, et al.
Publicado: (2024)
por: Sun, Zhicheng, et al.
Publicado: (2024)
Improving the Training of Rectified Flows
por: Lee, Sangyun, et al.
Publicado: (2024)
por: Lee, Sangyun, et al.
Publicado: (2024)
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
por: Zhou, Yiyang, et al.
Publicado: (2023)
por: Zhou, Yiyang, et al.
Publicado: (2023)
Pairing Regularization for Mitigating Many-to-One Collapse in GANs
por: Lin, Kuan-Yu, et al.
Publicado: (2026)
por: Lin, Kuan-Yu, et al.
Publicado: (2026)
Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination
por: Wang, Peng, et al.
Publicado: (2023)
por: Wang, Peng, et al.
Publicado: (2023)
EdVAE: Mitigating Codebook Collapse with Evidential Discrete Variational Autoencoders
por: Baykal, Gulcin, et al.
Publicado: (2023)
por: Baykal, Gulcin, et al.
Publicado: (2023)
Explaining and Mitigating the Modality Gap in Contrastive Multimodal Learning
por: Yaras, Can, et al.
Publicado: (2024)
por: Yaras, Can, et al.
Publicado: (2024)
Embedding-perturbed Exploration Preference Optimization for Flow Models
por: Hu, Sujie, et al.
Publicado: (2026)
por: Hu, Sujie, et al.
Publicado: (2026)
Understanding Generalization in Diffusion Distillation via Probability Flow Distance
por: Zhang, Huijie, et al.
Publicado: (2025)
por: Zhang, Huijie, et al.
Publicado: (2025)
Synthesizing Accurate and Realistic T1-weighted Contrast-Enhanced MR Images using Posterior-Mean Rectified Flow
por: Brandstötter, Bastian, et al.
Publicado: (2025)
por: Brandstötter, Bastian, et al.
Publicado: (2025)
REG: Rectified Gradient Guidance for Conditional Diffusion Models
por: Gao, Zhengqi, et al.
Publicado: (2025)
por: Gao, Zhengqi, et al.
Publicado: (2025)
The Emergence of Reproducibility and Generalizability in Diffusion Models
por: Zhang, Huijie, et al.
Publicado: (2023)
por: Zhang, Huijie, et al.
Publicado: (2023)
Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
por: Wang, Peng, et al.
Publicado: (2024)
por: Wang, Peng, et al.
Publicado: (2024)
Exploring Low-Dimensional Subspaces in Diffusion Models for Controllable Image Editing
por: Chen, Siyi, et al.
Publicado: (2024)
por: Chen, Siyi, et al.
Publicado: (2024)
SlimFlow: Training Smaller One-Step Diffusion Models with Rectified Flow
por: Zhu, Yuanzhi, et al.
Publicado: (2024)
por: Zhu, Yuanzhi, et al.
Publicado: (2024)
PCA-VAE: Differentiable Subspace Quantization without Codebook Collapse
por: Lu, Hao, et al.
Publicado: (2026)
por: Lu, Hao, et al.
Publicado: (2026)
P-Flow: Proxy-gradient Flows for Linear Inverse Problems
por: Jiang, Zehua, et al.
Publicado: (2026)
por: Jiang, Zehua, et al.
Publicado: (2026)
Quantize-then-Rectify: Efficient VQ-VAE Training
por: Zhang, Borui, et al.
Publicado: (2025)
por: Zhang, Borui, et al.
Publicado: (2025)
R-DMesh: Video-Guided 3D Animation via Rectified Dynamic Mesh Flow
por: Wu, Zijie, et al.
Publicado: (2026)
por: Wu, Zijie, et al.
Publicado: (2026)
ManiFPT: Defining and Analyzing Fingerprints of Generative Models
por: Song, Hae Jin, et al.
Publicado: (2024)
por: Song, Hae Jin, et al.
Publicado: (2024)
Analyzing Hierarchical Structure in Vision Models with Sparse Autoencoders
por: Olson, Matthew Lyle, et al.
Publicado: (2025)
por: Olson, Matthew Lyle, et al.
Publicado: (2025)
Ejemplares similares
-
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models
por: Wang, Fangyikang, et al.
Publicado: (2024) -
Free Lunch for Stabilizing Rectified Flow Inversion
por: Wang, Chenru, et al.
Publicado: (2026) -
Understanding Representation Dynamics of Diffusion Models via Low-Dimensional Modeling
por: Li, Xiao, et al.
Publicado: (2025) -
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin
por: Wang, Fangyikang, et al.
Publicado: (2025) -
Understanding and Improving Transfer Learning of Deep Models via Neural Collapse
por: Li, Xiao, et al.
Publicado: (2022)