BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Kou, Siqi, Gan, Lei, Wang, Dequan, Li, Chongxuan, Deng, Zhijie |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
by: De Vita, Michele, et al.
Published: (2024)
by: De Vita, Michele, et al.
Published: (2024)
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
by: Namekata, Koichi, et al.
Published: (2024)
by: Namekata, Koichi, et al.
Published: (2024)
Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback
by: Kordzanganeh, Mo, et al.
Published: (2024)
by: Kordzanganeh, Mo, et al.
Published: (2024)
SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
by: Pan, Jiayi, et al.
Published: (2025)
by: Pan, Jiayi, et al.
Published: (2025)
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
by: Vandenhirtz, Moritz, et al.
Published: (2025)
by: Vandenhirtz, Moritz, et al.
Published: (2025)
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models
by: Cui, Peng, et al.
Published: (2024)
by: Cui, Peng, et al.
Published: (2024)
CoordFlow: Coordinate Flow for Pixel-wise Neural Video Representation
by: Silver, Daniel, et al.
Published: (2025)
by: Silver, Daniel, et al.
Published: (2025)
BayesQ: Uncertainty-Guided Bayesian Quantization
by: Lamaakal, Ismail, et al.
Published: (2025)
by: Lamaakal, Ismail, et al.
Published: (2025)
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
by: Hu, Hanjiang, et al.
Published: (2023)
by: Hu, Hanjiang, et al.
Published: (2023)
LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model
by: You, Zebin, et al.
Published: (2026)
by: You, Zebin, et al.
Published: (2026)
Bayes-DIC Net: Estimating Digital Image Correlation Uncertainty with Bayesian Neural Networks
by: Chen, Biao, et al.
Published: (2025)
by: Chen, Biao, et al.
Published: (2025)
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
by: Paul, Richard D., et al.
Published: (2024)
by: Paul, Richard D., et al.
Published: (2024)
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models
by: Lu, Cheng, et al.
Published: (2022)
by: Lu, Cheng, et al.
Published: (2022)
DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion
by: Wang, Zixiao, et al.
Published: (2025)
by: Wang, Zixiao, et al.
Published: (2025)
Enhancing Multi-view Open-set Learning via Ambiguity Uncertainty Calibration and View-wise Debiasing
by: Fang, Zihan, et al.
Published: (2025)
by: Fang, Zihan, et al.
Published: (2025)
RISSOLE: Parameter-efficient Diffusion Models via Block-wise Generation and Retrieval-Guidance
by: Mukherjee, Avideep, et al.
Published: (2024)
by: Mukherjee, Avideep, et al.
Published: (2024)
Diff2Flow: Training Flow Matching Models via Diffusion Model Alignment
by: Schusterbauer, Johannes, et al.
Published: (2025)
by: Schusterbauer, Johannes, et al.
Published: (2025)
The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing
by: Nie, Shen, et al.
Published: (2023)
by: Nie, Shen, et al.
Published: (2023)
DiffEnc: Variational Diffusion with a Learned Encoder
by: Nielsen, Beatrix M. G., et al.
Published: (2023)
by: Nielsen, Beatrix M. G., et al.
Published: (2023)
MPQ-Diff: Mixed Precision Quantization for Diffusion Models
by: Maruzzelli, Rocco Manz, et al.
Published: (2024)
by: Maruzzelli, Rocco Manz, et al.
Published: (2024)
Pixel-wise Modulated Dice Loss for Medical Image Segmentation
by: Hosseini, Seyed Mohsen
Published: (2025)
by: Hosseini, Seyed Mohsen
Published: (2025)
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation
by: Zeevi, Tal, et al.
Published: (2024)
by: Zeevi, Tal, et al.
Published: (2024)
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
by: Durasov, Nikita, et al.
Published: (2022)
by: Durasov, Nikita, et al.
Published: (2022)
Improving Long-Text Alignment for Text-to-Image Diffusion Models
by: Liu, Luping, et al.
Published: (2024)
by: Liu, Luping, et al.
Published: (2024)
Progressive Element-wise Gradient Estimation for Neural Network Quantization
by: Zhao, Kaiqi
Published: (2025)
by: Zhao, Kaiqi
Published: (2025)
Pixel-Wise Symbol Spotting via Progressive Points Location for Parsing CAD Images
by: Pang, Junbiao, et al.
Published: (2024)
by: Pang, Junbiao, et al.
Published: (2024)
Scaling Diffusion Transformers Efficiently via $μ$P
by: Zheng, Chenyu, et al.
Published: (2025)
by: Zheng, Chenyu, et al.
Published: (2025)
$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
by: Bond-Taylor, Sam, et al.
Published: (2023)
by: Bond-Taylor, Sam, et al.
Published: (2023)
DiffPAD: Denoising Diffusion-based Adversarial Patch Decontamination
by: Fu, Jia, et al.
Published: (2024)
by: Fu, Jia, et al.
Published: (2024)
On Memorization in Diffusion Models
by: Gu, Xiangming, et al.
Published: (2023)
by: Gu, Xiangming, et al.
Published: (2023)
SemDiff: Generating Natural Unrestricted Adversarial Examples via Semantic Attributes Optimization in Diffusion Models
by: Dai, Zeyu, et al.
Published: (2025)
by: Dai, Zeyu, et al.
Published: (2025)
AdvDiff: Generating Unrestricted Adversarial Examples using Diffusion Models
by: Dai, Xuelong, et al.
Published: (2023)
by: Dai, Xuelong, et al.
Published: (2023)
DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers
by: Sastry, Chandramouli, et al.
Published: (2023)
by: Sastry, Chandramouli, et al.
Published: (2023)
CubeDiff: Repurposing Diffusion-Based Image Models for Panorama Generation
by: Kalischek, Nikolai, et al.
Published: (2025)
by: Kalischek, Nikolai, et al.
Published: (2025)
DiffEditor: Boosting Accuracy and Flexibility on Diffusion-based Image Editing
by: Mou, Chong, et al.
Published: (2024)
by: Mou, Chong, et al.
Published: (2024)
DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion
by: Han, Chenxu, et al.
Published: (2026)
by: Han, Chenxu, et al.
Published: (2026)
Generative Diffusion Augmentation with Quantum-Enhanced Discrimination for Medical Image Diagnosis
by: Xia, Jingsong, et al.
Published: (2026)
by: Xia, Jingsong, et al.
Published: (2026)
From Time-series Generation, Model Selection to Transfer Learning: A Comparative Review of Pixel-wise Approaches for Large-scale Crop Mapping
by: Long, Judy, et al.
Published: (2025)
by: Long, Judy, et al.
Published: (2025)
Bayesian Diffusion Models for 3D Shape Reconstruction
by: Xu, Haiyang, et al.
Published: (2024)
by: Xu, Haiyang, et al.
Published: (2024)
Diff-3DCap: Shape Captioning with Diffusion Models
by: Shu, Zhenyu, et al.
Published: (2025)
by: Shu, Zhenyu, et al.
Published: (2025)
Similar Items
-
Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation
by: De Vita, Michele, et al.
Published: (2024) -
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
by: Namekata, Koichi, et al.
Published: (2024) -
Pixel-wise RL on Diffusion Models: Reinforcement Learning from Rich Feedback
by: Kordzanganeh, Mo, et al.
Published: (2024) -
SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation
by: Pan, Jiayi, et al.
Published: (2025) -
From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
by: Vandenhirtz, Moritz, et al.
Published: (2025)