DiFiC: Your Diffusion Model Holds the Secret to Fine-Grained Clustering
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Ruohong, Hu, Peng, Peng, Xi, Liu, Xiting, Li, Yunfan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval
by: Yang, Ruohong, et al.
Published: (2025)
by: Yang, Ruohong, et al.
Published: (2025)
What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
by: Humayun, Ahmed Imtiaz, et al.
Published: (2024)
by: Humayun, Ahmed Imtiaz, et al.
Published: (2024)
Your Diffusion Model is Secretly a Certifiably Robust Classifier
by: Chen, Huanran, et al.
Published: (2024)
by: Chen, Huanran, et al.
Published: (2024)
A Survey on Deep Clustering: From the Prior Perspective
by: Lu, Yiding, et al.
Published: (2024)
by: Lu, Yiding, et al.
Published: (2024)
TerDiT: Ternary Diffusion Models with Transformers
by: Lu, Xudong, et al.
Published: (2024)
by: Lu, Xudong, et al.
Published: (2024)
Improving Fine-Grained Control via Aggregation of Multiple Diffusion Models
by: Yue, Conghan, et al.
Published: (2024)
by: Yue, Conghan, et al.
Published: (2024)
LLaVA-Critic-R1: Your Critic Model is Secretly a Strong Policy Model
by: Wang, Xiyao, et al.
Published: (2025)
by: Wang, Xiyao, et al.
Published: (2025)
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization
by: Gu, Zhaopeng, et al.
Published: (2024)
by: Gu, Zhaopeng, et al.
Published: (2024)
FlexiDiT: Your Diffusion Transformer Can Easily Generate High-Quality Samples with Less Compute
by: Anagnostidis, Sotiris, et al.
Published: (2025)
by: Anagnostidis, Sotiris, et al.
Published: (2025)
DiC: Rethinking Conv3x3 Designs in Diffusion Models
by: Tian, Yuchuan, et al.
Published: (2024)
by: Tian, Yuchuan, et al.
Published: (2024)
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator
by: Zheng, Kaiwen, et al.
Published: (2025)
by: Zheng, Kaiwen, et al.
Published: (2025)
Your Image is Secretly the Last Frame of a Pseudo Video
by: Chen, Wenlong, et al.
Published: (2024)
by: Chen, Wenlong, et al.
Published: (2024)
Diffusion Models Learn Low-Dimensional Distributions via Subspace Clustering
by: Wang, Peng, et al.
Published: (2024)
by: Wang, Peng, et al.
Published: (2024)
FRISM: Fine-Grained Reasoning Injection via Subspace-Level Model Merging for Vision-Language Models
by: Huang, Chenyu, et al.
Published: (2026)
by: Huang, Chenyu, et al.
Published: (2026)
Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning
by: Yang, Hao, et al.
Published: (2024)
by: Yang, Hao, et al.
Published: (2024)
Your VAR Model is Secretly an Efficient and Explainable Generative Classifier
by: Chen, Yi-Chung, et al.
Published: (2025)
by: Chen, Yi-Chung, et al.
Published: (2025)
Stable Diffusion Models are Secretly Good at Visual In-Context Learning
by: Oorloff, Trevine, et al.
Published: (2025)
by: Oorloff, Trevine, et al.
Published: (2025)
Cross-modal Active Complementary Learning with Self-refining Correspondence
by: Qin, Yang, et al.
Published: (2023)
by: Qin, Yang, et al.
Published: (2023)
Fast-DiM: Towards Fast Diffusion Morphs
by: Blasingame, Zander W., et al.
Published: (2023)
by: Blasingame, Zander W., et al.
Published: (2023)
Di$\mathtt{[M]}$O: Distilling Masked Diffusion Models into One-step Generator
by: Zhu, Yuanzhi, et al.
Published: (2025)
by: Zhu, Yuanzhi, et al.
Published: (2025)
Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery
by: Wang, Enguang, et al.
Published: (2025)
by: Wang, Enguang, et al.
Published: (2025)
Scale-Wise VAR is Secretly Discrete Diffusion
by: Kumar, Amandeep, et al.
Published: (2025)
by: Kumar, Amandeep, et al.
Published: (2025)
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
by: Monsefi, Amin Karimi, et al.
Published: (2025)
by: Monsefi, Amin Karimi, et al.
Published: (2025)
Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor
by: Dagli, Rishit, et al.
Published: (2025)
by: Dagli, Rishit, et al.
Published: (2025)
Towards Robust Multimodal Emotion Recognition under Missing Modalities and Distribution Shifts
by: Zhong, Guowei, et al.
Published: (2025)
by: Zhong, Guowei, et al.
Published: (2025)
DiWA: Diffusion Policy Adaptation with World Models
by: Chandra, Akshay L, et al.
Published: (2025)
by: Chandra, Akshay L, et al.
Published: (2025)
Qua$^2$SeDiMo: Quantifiable Quantization Sensitivity of Diffusion Models
by: Mills, Keith G., et al.
Published: (2024)
by: Mills, Keith G., et al.
Published: (2024)
Beyond Binary Success: A Diagnostic Meta-Evaluation Framework for Fine-Grained Manipulation
by: Xu, He-Yang, et al.
Published: (2026)
by: Xu, He-Yang, et al.
Published: (2026)
Adaptive Global and Fine-Grained Perceptual Fusion for MLLM Embeddings Compatible with Hard Negative Amplification
by: Hu, Lexiang, et al.
Published: (2026)
by: Hu, Lexiang, et al.
Published: (2026)
Exploiting Fine-Grained Prototype Distribution for Boosting Unsupervised Class Incremental Learning
by: Liu, Jiaming, et al.
Published: (2024)
by: Liu, Jiaming, et al.
Published: (2024)
Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated
by: Yang, Muli, et al.
Published: (2026)
by: Yang, Muli, et al.
Published: (2026)
Align Your Steps: Optimizing Sampling Schedules in Diffusion Models
by: Sabour, Amirmojtaba, et al.
Published: (2024)
by: Sabour, Amirmojtaba, et al.
Published: (2024)
Hierarchical Semantic Alignment for Image Clustering
by: Zhu, Xingyu, et al.
Published: (2025)
by: Zhu, Xingyu, et al.
Published: (2025)
LILAC: Long-sequence Incremental Low-latency Arbitrary Motion Stylization via Streaming VAE-Diffusion with Causal Decoding
by: Ren, Peng, et al.
Published: (2025)
by: Ren, Peng, et al.
Published: (2025)
Fine-Grained GRPO for Precise Preference Alignment in Flow Models
by: Zhou, Yujie, et al.
Published: (2025)
by: Zhou, Yujie, et al.
Published: (2025)
Attention Transfer Is Not Universally Effective for Vision Transformers
by: Qin, Huaiyuan, et al.
Published: (2026)
by: Qin, Huaiyuan, et al.
Published: (2026)
Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
by: Balestriero, Randall, et al.
Published: (2025)
by: Balestriero, Randall, et al.
Published: (2025)
ReDiF: Reinforced Distillation for Few Step Diffusion
by: Tighkhorshid, Amirhossein, et al.
Published: (2025)
by: Tighkhorshid, Amirhossein, et al.
Published: (2025)
Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers
by: Chen, Pengtao, et al.
Published: (2025)
by: Chen, Pengtao, et al.
Published: (2025)
SaFeR-VLM: Toward Safety-aware Fine-grained Reasoning in Multimodal Models
by: Yi, Huahui, et al.
Published: (2025)
by: Yi, Huahui, et al.
Published: (2025)
Similar Items
-
DUDE: Diffusion-Based Unsupervised Cross-Domain Image Retrieval
by: Yang, Ruohong, et al.
Published: (2025) -
What Secrets Do Your Manifolds Hold? Understanding the Local Geometry of Generative Models
by: Humayun, Ahmed Imtiaz, et al.
Published: (2024) -
Your Diffusion Model is Secretly a Certifiably Robust Classifier
by: Chen, Huanran, et al.
Published: (2024) -
A Survey on Deep Clustering: From the Prior Perspective
by: Lu, Yiding, et al.
Published: (2024) -
TerDiT: Ternary Diffusion Models with Transformers
by: Lu, Xudong, et al.
Published: (2024)