Cover Image

CleanDIFT: Diffusion Features without Noise

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Stracke, Nick, Baumann, Stefan Andreas, Bauer, Kolja, Fundel, Frank, Ommer, Björn
Format:	Preprint
Published:	2024
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

Learning Long-term Motion Embeddings for Efficient Kinematics Generation
by: Stracke, Nick, et al.
Published: (2026)

What If : Understanding Motion Through Sparse Interactions
by: Baumann, Stefan Andreas, et al.
Published: (2025)

Distillation of Diffusion Features for Semantic Correspondence
by: Fundel, Frank, et al.
Published: (2024)

RayDer: Scalable Self-Supervised Novel View Synthesis from Real-World Video
by: Prestel, Ulrich, et al.
Published: (2026)

CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models
by: Stracke, Nick, et al.
Published: (2024)

Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
by: Schusterbauer, Johannes, et al.
Published: (2025)

Boosting Latent Diffusion with Flow Matching
by: Schusterbauer, Johannes, et al.
Published: (2023)

Probabilistic Precipitation Nowcasting with Rectified Flow Transformers
by: Schusterbauer, Johannes, et al.
Published: (2026)

DisMo: Disentangled Motion Representations for Open-World Motion Transfer
by: Ressler-Antal, Thomas, et al.
Published: (2025)

Continuous, Subject-Specific Attribute Control in T2I Models by Identifying Semantic Directions
by: Baumann, Stefan Andreas, et al.
Published: (2024)

Guiding Token-Sparse Diffusion Models
by: Krause, Felix, et al.
Published: (2026)

TREAD: Token Routing for Efficient Architecture-agnostic Diffusion Training
by: Krause, Felix, et al.
Published: (2025)

MedDIFT: Multi-Scale Diffusion-Based Correspondence in 3D Medical Imaging
by: Zhang, Xingyu, et al.
Published: (2025)

Envisioning the Future, One Step at a Time
by: Baumann, Stefan Andreas, et al.
Published: (2026)

ZigMa: A DiT-style Zigzag Mamba Diffusion Model
by: Hu, Vincent Tao, et al.
Published: (2024)

Unsupervised View-Invariant Human Posture Representation
by: Sardari, Faegheh, et al.
Published: (2021)

[MASK] is All You Need
by: Hu, Vincent Tao, et al.
Published: (2024)

NoiseSDF2NoiseSDF: Learning Clean Neural Fields from Noisy Supervision
by: Wang, Tengkai, et al.
Published: (2025)

MaskFlow: Discrete Flows For Flexible and Efficient Long Video Generation
by: Fuest, Michael, et al.
Published: (2025)

DepthFM: Fast Monocular Depth Estimation with Flow Matching
by: Gui, Ming, et al.
Published: (2024)

CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
by: Davtyan, Aram, et al.
Published: (2024)

Quantum Denoising Diffusion Models
by: Kölle, Michael, et al.
Published: (2024)

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation
by: Wang, Jiajun, et al.
Published: (2024)

Diffusion Models and Representation Learning: A Survey
by: Fuest, Michael, et al.
Published: (2024)

Does VLM Classification Benefit from LLM Description Semantics?
by: Ma, Pingchuan, et al.
Published: (2024)

Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics
by: Li, Yitong, et al.
Published: (2025)

Denoising, Fast and Slow: Difficulty-Aware Adaptive Sampling for Image Generation
by: Schusterbauer, Johannes, et al.
Published: (2026)

Latent Drifting in Diffusion Models for Counterfactual Medical Image Synthesis
by: Yeganeh, Yousef, et al.
Published: (2024)

Diffusion Noise Feature: Accurate and Fast Generated Image Detection
by: Zhang, Yichi, et al.
Published: (2023)

Scaling Image Tokenizers with Grouped Spherical Quantization
by: Wang, Jiangtao, et al.
Published: (2024)

Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
by: Gui, Ming, et al.
Published: (2025)

Vision At Night: Exploring Biologically Inspired Preprocessing For Improved Robustness Via Color And Contrast Transformations
by: Stracke, Lorena, et al.
Published: (2025)

DiffClean: Diffusion-based Makeup Removal for Accurate Age Estimation
by: Gavas, Ekta, et al.
Published: (2025)

Backdoor Cleaning without External Guidance in MLLM Fine-tuning
by: Rong, Xuankun, et al.
Published: (2025)

Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
by: Wang, Yanghao, et al.
Published: (2025)

An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations
by: Bai, Weimin, et al.
Published: (2024)

Colored Noise Diffusion Sampling
by: Davidson, Hadar, et al.
Published: (2026)

Structure by Architecture: Structured Representations without Regularization
by: Leeb, Felix, et al.
Published: (2020)

Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization
by: Qi, Zipeng, et al.
Published: (2024)

Immiscible Diffusion: Accelerating Diffusion Training with Noise Assignment
by: Li, Yiheng, et al.
Published: (2024)