Cover Image

CAB: Accelerating Flow and Diffusion Sampling via Rectification and Corrected Adams-Bashforth

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Roy, Anuska, Nair, Pravin
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Adams Bashforth Moulton Solver for Inversion and Editing in Rectified Flow
by: Ma, Yongjia, et al.
Published: (2025)

Provably Contractive and High-Quality Denoisers for Convergent Restoration
by: Shukla, Shubhi, et al.
Published: (2026)

Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts
by: Brahma, Debarshi, et al.
Published: (2025)

Relation Rectification in Diffusion Model
by: Wu, Yinwei, et al.
Published: (2024)

Detecting Localized Deepfake Manipulations Using Action Unit-Guided Video Representations
by: Anand, Tharun, et al.
Published: (2025)

ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion
by: Peng, Xurui, et al.
Published: (2025)

MASC: Metal-Aware Sampling and Correction via Reinforcement Learning for Accelerated MRI
by: Lu, Zhengyi, et al.
Published: (2026)

Rectification Reimagined: A Unified Mamba Model for Image Correction and Rectangling with Prompts
by: Qiu, Linwei, et al.
Published: (2025)

Decoupled MeanFlow: Turning Flow Models into Flow Maps for Accelerated Sampling
by: Lee, Kyungmin, et al.
Published: (2025)

DREAM: Diffusion Rectification and Estimation-Adaptive Models
by: Zhou, Jinxin, et al.
Published: (2023)

Glance: Accelerating Diffusion Models with 1 Sample
by: Dong, Zhuobai, et al.
Published: (2025)

Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
by: Wang, Ruoyu, et al.
Published: (2025)

Training-free Diffusion Acceleration with Bottleneck Sampling
by: Tian, Ye, et al.
Published: (2025)

Accelerating Diffusion Decoders via Multi-Scale Sampling and One-Step Distillation
by: Wang, Chuhan, et al.
Published: (2026)

Accelerate TarFlow Sampling with GS-Jacobi Iteration
by: Liu, Ben, et al.
Published: (2025)

L3DR: 3D-aware LiDAR Diffusion and Rectification
by: Liu, Quan, et al.
Published: (2026)

Plug-and-play linear attention with provable guarantees for training-free image restoration
by: Kidambi, Srinivasan, et al.
Published: (2025)

Functionalization via Structure Completion and Motion Rectification
by: Zhao, Mingrui, et al.
Published: (2026)

AdamFlow: Adam-based Wasserstein Gradient Flows for Surface Registration in Medical Imaging
by: Ma, Qiang, et al.
Published: (2026)

The Mechanics of CNN Filtering with Rectification
by: Frija-Altarac, Liam, et al.
Published: (2025)

Diffusion Sampling Correction via Approximately 10 Parameters
by: Wang, Guangyi, et al.
Published: (2024)

RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance
by: Sun, Zhicheng, et al.
Published: (2024)

Dual-frequency Selected Knowledge Distillation with Statistical-based Sample Rectification for PolSAR Image Classification
by: Xin, Xinyue, et al.
Published: (2025)

Conditional Prototype Rectification Prompt Learning
by: Chen, Haoxing, et al.
Published: (2024)

Do You Need Text Rectification? Soft Attention Mask Embedding for Rectification-Free Scene Text Spotting
by: Colombo, Antonio, et al.
Published: (2026)

FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference
by: Bajpai, Divya Jyoti, et al.
Published: (2026)

BookNet: Book Image Rectification via Cross-Page Attention Network
by: Liu, Shaokai, et al.
Published: (2026)

PRISM: Prior Rectification and Uncertainty-Aware Structure Modeling for Diffusion-Based Text Image Super-Resolution
by: Xu, Zihang, et al.
Published: (2026)

A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models
by: Moon, Taehong, et al.
Published: (2024)

Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling
by: Qin, Rui, et al.
Published: (2025)

Cascaded Robust Rectification for Arbitrary Document Images
by: Wang, Chaoyun, et al.
Published: (2025)

TARO: Temporal Adversarial Rectification Optimization Using Diffusion Models as Purifiers
by: Wesego, Daniel, et al.
Published: (2026)

ReFrame: Rectification Framework for Image Explaining Architectures
by: Adhikary, Debjyoti Das, et al.
Published: (2025)

VoxDepth: Rectification of Depth Images on Edge Devices
by: Chakrabarty, Yashashwee, et al.
Published: (2024)

SURE Guided Posterior Sampling: Trajectory Correction for Diffusion-Based Inverse Problems
by: Kim, Minwoo, et al.
Published: (2025)

CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL
by: Ni, Zhenyang, et al.
Published: (2026)

SNR-Edit: Structure-Aware Noise Rectification for Inversion-Free Flow-Based Editing
by: Jiang, Lifan, et al.
Published: (2026)

FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis
by: Xu, Xichen, et al.
Published: (2025)

CURE: Concept Unlearning via Orthogonal Representation Editing in Diffusion Models
by: Biswas, Shristi Das, et al.
Published: (2025)

Mitigating Object Hallucinations in LVLMs via Attention Imbalance Rectification
by: Sun, Han, et al.
Published: (2026)