Elucidating the SNR-t Bias of Diffusion Probabilistic Models
Fuente:
arXiv
Saved in:
| Main Authors: | Yu, Meng, Sun, Lei, Zeng, Jianhao, Chu, Xiangxiang, Zhan, Kun |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Frequency Regulation for Exposure Bias Mitigation in Diffusion Models
by: Yu, Meng, et al.
Published: (2025)
by: Yu, Meng, et al.
Published: (2025)
Semantic Context Matters: Improving Conditioning for Autoregressive Models
by: Jin, Dongyang, et al.
Published: (2025)
by: Jin, Dongyang, et al.
Published: (2025)
Bias mitigation in graph diffusion models
by: Yu, Meng, et al.
Published: (2026)
by: Yu, Meng, et al.
Published: (2026)
TEXTS-Diff: TEXTS-Aware Diffusion Model for Real-World Text Image Super-Resolution
by: He, Haodong, et al.
Published: (2026)
by: He, Haodong, et al.
Published: (2026)
Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers
by: Chen, Ruidong, et al.
Published: (2026)
by: Chen, Ruidong, et al.
Published: (2026)
Elucidating the Exposure Bias in Diffusion Models
by: Ning, Mang, et al.
Published: (2023)
by: Ning, Mang, et al.
Published: (2023)
Eevee: Towards Close-up High-resolution Video-based Virtual Try-on
by: Zeng, Jianhao, et al.
Published: (2025)
by: Zeng, Jianhao, et al.
Published: (2025)
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model
by: Li, Mingxing, et al.
Published: (2025)
by: Li, Mingxing, et al.
Published: (2025)
RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution
by: He, Haodong, et al.
Published: (2025)
by: He, Haodong, et al.
Published: (2025)
GaussianDiffusion: 3D Gaussian Splatting for Denoising Diffusion Probabilistic Models with Structured Noise
by: Li, Xinhai, et al.
Published: (2023)
by: Li, Xinhai, et al.
Published: (2023)
CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model
by: Zeng, Jianhao, et al.
Published: (2023)
by: Zeng, Jianhao, et al.
Published: (2023)
Efficient Diffusion Training via Min-SNR Weighting Strategy
by: Hang, Tiankai, et al.
Published: (2023)
by: Hang, Tiankai, et al.
Published: (2023)
FLUX-Text: A Simple and Advanced Diffusion Transformer Baseline for Scene Text Editing
by: Lan, Rui, et al.
Published: (2025)
by: Lan, Rui, et al.
Published: (2025)
There is No VAE: End-to-End Pixel-Space Generative Modeling via Self-Supervised Pre-training
by: Lei, Jiachen, et al.
Published: (2025)
by: Lei, Jiachen, et al.
Published: (2025)
PLUG: Revisiting Amodal Segmentation with Foundation Model and Hierarchical Focus
by: Liu, Zhaochen, et al.
Published: (2024)
by: Liu, Zhaochen, et al.
Published: (2024)
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding
by: Chu, Xiangxiang, et al.
Published: (2025)
by: Chu, Xiangxiang, et al.
Published: (2025)
Binary Diffusion Probabilistic Model
by: Kinakh, Vitaliy, et al.
Published: (2025)
by: Kinakh, Vitaliy, et al.
Published: (2025)
Anisotropic Diffusion Probabilistic Model for Imbalanced Image Classification
by: Kong, Jingyu, et al.
Published: (2024)
by: Kong, Jingyu, et al.
Published: (2024)
FingER: Content Aware Fine-grained Evaluation with Reasoning for AI-Generated Videos
by: Chen, Rui, et al.
Published: (2025)
by: Chen, Rui, et al.
Published: (2025)
Preference Alignment for Diffusion Model via Explicit Denoised Distribution Estimation
by: Shi, Dingyuan, et al.
Published: (2024)
by: Shi, Dingyuan, et al.
Published: (2024)
SCALAR: Scale-wise Controllable Visual Autoregressive Learning
by: Xu, Ryan, et al.
Published: (2025)
by: Xu, Ryan, et al.
Published: (2025)
Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
by: Chen, Chubin, et al.
Published: (2025)
by: Chen, Chubin, et al.
Published: (2025)
DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting
by: Wen, Penghui, et al.
Published: (2024)
by: Wen, Penghui, et al.
Published: (2024)
Diffusion-RSCC: Diffusion Probabilistic Model for Change Captioning in Remote Sensing Images
by: Yu, Xiaofei, et al.
Published: (2024)
by: Yu, Xiaofei, et al.
Published: (2024)
Prompt-Consistency Image Generation (PCIG): A Unified Framework Integrating LLMs, Knowledge Graphs, and Controllable Diffusion Models
by: Sun, Yichen, et al.
Published: (2024)
by: Sun, Yichen, et al.
Published: (2024)
MERLIN: Building Low-SNR Robust Multimodal LLMs for Electromagnetic Signals
by: Shen, Junyu, et al.
Published: (2026)
by: Shen, Junyu, et al.
Published: (2026)
DiffusionEdge: Diffusion Probabilistic Model for Crisp Edge Detection
by: Ye, Yunfan, et al.
Published: (2024)
by: Ye, Yunfan, et al.
Published: (2024)
Deeper Diffusion Models Amplify Bias
by: Hakemi, Shahin, et al.
Published: (2025)
by: Hakemi, Shahin, et al.
Published: (2025)
SFormer: SNR-guided Transformer for Underwater Image Enhancement from the Frequency Domain
by: Tian, Xin, et al.
Published: (2025)
by: Tian, Xin, et al.
Published: (2025)
Better Fit: Accommodate Variations in Clothing Types for Virtual Try-on
by: Song, Dan, et al.
Published: (2024)
by: Song, Dan, et al.
Published: (2024)
BGDB: Bernoulli-Gaussian Decision Block with Improved Denoising Diffusion Probabilistic Models
by: Sun, Chengkun, et al.
Published: (2024)
by: Sun, Chengkun, et al.
Published: (2024)
FocusDiT: Masking Queries in Diffusion Transformers for Fine-grained Image Generation
by: Fang, Xueji, et al.
Published: (2026)
by: Fang, Xueji, et al.
Published: (2026)
FlowDreamer: Exploring High Fidelity Text-to-3D Generation via Rectified Flow
by: Li, Hangyu, et al.
Published: (2024)
by: Li, Hangyu, et al.
Published: (2024)
VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
by: Chu, Xiangxiang, et al.
Published: (2024)
by: Chu, Xiangxiang, et al.
Published: (2024)
LogicalDefender: Discovering, Extracting, and Utilizing Common-Sense Knowledge
by: Liu, Yuhe, et al.
Published: (2024)
by: Liu, Yuhe, et al.
Published: (2024)
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios
by: Fan, Jiaqi, et al.
Published: (2024)
by: Fan, Jiaqi, et al.
Published: (2024)
UniVG-R1: Reasoning Guided Universal Visual Grounding with Reinforcement Learning
by: Bai, Sule, et al.
Published: (2025)
by: Bai, Sule, et al.
Published: (2025)
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
by: Li, Mingxiao, et al.
Published: (2023)
by: Li, Mingxiao, et al.
Published: (2023)
Unmasking Bias in Diffusion Model Training
by: Yu, Hu, et al.
Published: (2023)
by: Yu, Hu, et al.
Published: (2023)
Video Summarization using Denoising Diffusion Probabilistic Model
by: Shang, Zirui, et al.
Published: (2024)
by: Shang, Zirui, et al.
Published: (2024)
Similar Items
-
Frequency Regulation for Exposure Bias Mitigation in Diffusion Models
by: Yu, Meng, et al.
Published: (2025) -
Semantic Context Matters: Improving Conditioning for Autoregressive Models
by: Jin, Dongyang, et al.
Published: (2025) -
Bias mitigation in graph diffusion models
by: Yu, Meng, et al.
Published: (2026) -
TEXTS-Diff: TEXTS-Aware Diffusion Model for Real-World Text Image Super-Resolution
by: He, Haodong, et al.
Published: (2026) -
Layer-wise Instance Binding for Regional and Occlusion Control in Text-to-Image Diffusion Transformers
by: Chen, Ruidong, et al.
Published: (2026)