Cover Image

Factored Classifier-Free Guidance

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xia, Tian, Ribeiro, Fabio De Sousa, Rasal, Rajat R, Kori, Avinash, Mehta, Raghav, Glocker, Ben
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion Counterfactual Generation with Semantic Abduction
by: Rasal, Rajat, et al.
Published: (2025)

Causal Representation Learning with Observational Grouping for CXR Classification
by: Rasal, Rajat, et al.
Published: (2025)

Flow Stochastic Segmentation Networks
by: Ribeiro, Fabio De Sousa, et al.
Published: (2025)

Segmentor-Guided Counterfactual Fine-Tuning for Locally Coherent and Targeted Image Synthesis
by: Xia, Tian, et al.
Published: (2025)

Positional Segmentor-Guided Counterfactual Fine-Tuning for Spatially Localized Image Synthesis
by: Xia, Tian, et al.
Published: (2026)

Where are we with calibration under dataset shift in image classification?
by: Roschewitz, Mélanie, et al.
Published: (2025)

Grounded Object Centric Learning
by: Kori, Avinash, et al.
Published: (2023)

Transparent Visual Reasoning via Object-Centric Agent Collaboration
by: Teoh, Benjamin, et al.
Published: (2025)

CF-Seg: Counterfactuals meet Segmentation
by: Mehta, Raghav, et al.
Published: (2025)

Counterfactual contrastive learning: robust representations via causal image synthesis
by: Roschewitz, Melanie, et al.
Published: (2024)

Robust image representations with counterfactual contrastive learning
by: Roschewitz, Mélanie, et al.
Published: (2024)

Mitigating attribute amplification in counterfactual image generation
by: Xia, Tian, et al.
Published: (2024)

Automatic dataset shift identification to support safe deployment of medical imaging AI
by: Roschewitz, Mélanie, et al.
Published: (2024)

Counterfactual Stress Testing for Image Classification Models
by: Stammel, Moritz, et al.
Published: (2026)

Latent Causal Modeling for 3D Brain MRI Counterfactuals
by: Peng, Wei, et al.
Published: (2024)

Identifiable Object Representations under Spatial Ambiguities
by: Kori, Avinash, et al.
Published: (2025)

Pixel-level Counterfactual Contrastive Learning for Medical Image Segmentation
by: Lafargue-Hauret, Marceau, et al.
Published: (2026)

Selective Fine-Tuning for Targeted and Robust Concept Unlearning
by: Mansi, et al.
Published: (2026)

Demystifying Variational Diffusion Models
by: Ribeiro, Fabio De Sousa, et al.
Published: (2024)

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance
by: Shen, Dazhong, et al.
Published: (2024)

Gradient-Free Classifier Guidance for Diffusion Model Sampling
by: Shenoy, Rahul, et al.
Published: (2024)

Improving Classifier-Free Guidance of Flow Matching via Manifold Projection
by: Cai, Jian-Feng, et al.
Published: (2026)

Classifier-Free Guidance is a Predictor-Corrector
by: Bradley, Arwen, et al.
Published: (2024)

Studying Classifier(-Free) Guidance From a Classifier-Centric Perspective
by: Zhao, Xiaoming, et al.
Published: (2025)

EP-CFG: Energy-Preserving Classifier-Free Guidance
by: Zhang, Kai, et al.
Published: (2024)

How Much To Guide: Revisiting Adaptive Guidance in Classifier-Free Guidance Text-to-Vision Diffusion Models
by: Zhang, Huixuan, et al.
Published: (2025)

CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models
by: Chung, Hyungjin, et al.
Published: (2024)

Classifier-Free Guidance inside the Attraction Basin May Cause Memorization
by: Jain, Anubhav, et al.
Published: (2024)

Composite Classifier-Free Guidance for Multi-Modal Conditioning in Wind Dynamics Super-Resolution
by: Schnell, Jacob, et al.
Published: (2025)

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification
by: Kumar, Raja, et al.
Published: (2024)

UNSURF: Uncertainty Quantification for Cortical Surface Reconstruction of Clinical Brain MRIs
by: Mehta, Raghav, et al.
Published: (2025)

Diffusion Models without Classifier-free Guidance
by: Tang, Zhicong, et al.
Published: (2025)

Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
by: Jang, Sangwon, et al.
Published: (2025)

Exploring the interplay of label bias with subgroup size and separability: A case study in mammographic density classification
by: Stanley, Emma A. M., et al.
Published: (2025)

MCLR: Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives
by: Li, Xiang, et al.
Published: (2026)

Training-Free Representation Guidance for Diffusion Models with a Representation Alignment Projector
by: Zu, Wenqiang, et al.
Published: (2026)

Dual-Channel Attention Guidance for Training-Free Image Editing Control in Diffusion Transformers
by: Li, Guandong
Published: (2026)

Weakly Supervised Camouflaged Object Detection Based on the SAM Model and Mask Guidance
by: Li, Xia, et al.
Published: (2026)

Asynchronous Perception Machine For Efficient Test-Time-Training
by: Modi, Rajat, et al.
Published: (2024)

CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing
by: Xie, Weiyan, et al.
Published: (2025)