Low-Bit, High-Fidelity: Optimal Transport Quantization for Flow Matching
Fuente:
arXiv
Saved in:
| Main Authors: | Varam, Dara, Abuhani, Diaa A., Zualkernan, Imran, AlDamani, Raghad, Khalil, Lujain |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unsupervised Urban Tree Biodiversity Mapping from Street-Level Imagery Using Spatially-Aware Visual Clustering
by: Abuhani, Diaa Addeen, et al.
Published: (2025)
by: Abuhani, Diaa Addeen, et al.
Published: (2025)
COT-FM: Cluster-wise Optimal Transport Flow Matching
by: Chiang, Chiensheng, et al.
Published: (2026)
by: Chiang, Chiensheng, et al.
Published: (2026)
Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization
by: Wang, YiFeng, et al.
Published: (2026)
by: Wang, YiFeng, et al.
Published: (2026)
Preventing Local Pitfalls in Vector Quantization via Optimal Transport
by: Zhang, Borui, et al.
Published: (2024)
by: Zhang, Borui, et al.
Published: (2024)
MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization
by: Su, Le, et al.
Published: (2026)
by: Su, Le, et al.
Published: (2026)
Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision
by: Huang, Xijie, et al.
Published: (2023)
by: Huang, Xijie, et al.
Published: (2023)
Bellman Optimal Stepsize Straightening of Flow-Matching Models
by: Nguyen, Bao, et al.
Published: (2023)
by: Nguyen, Bao, et al.
Published: (2023)
Integrating Visual and X-Ray Machine Learning Features in the Study of Paintings by Goya
by: Ugail, Hassan, et al.
Published: (2025)
by: Ugail, Hassan, et al.
Published: (2025)
Outlier-Aware Training for Low-Bit Quantization of Structural Re-Parameterized Networks
by: Niu, Muqun, et al.
Published: (2024)
by: Niu, Muqun, et al.
Published: (2024)
Purrception: Variational Flow Matching for Vector-Quantized Image Generation
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)
by: Matişan, Răzvan-Andrei, et al.
Published: (2025)
Beyond Optimal Transport: Model-Aligned Coupling for Flow Matching
by: Lin, Yexiong, et al.
Published: (2025)
by: Lin, Yexiong, et al.
Published: (2025)
Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening
by: Cao, Zihan, et al.
Published: (2025)
by: Cao, Zihan, et al.
Published: (2025)
FlowIt: Global Matching via Hierarchical Transformers and Optimal Transport for Optical Flow
by: Safadoust, Sadra, et al.
Published: (2026)
by: Safadoust, Sadra, et al.
Published: (2026)
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit
by: Gao, Chang, et al.
Published: (2024)
by: Gao, Chang, et al.
Published: (2024)
When Bits Break Recourse: Counterfactual-Faithful Quantization
by: Yahyati, Chaymae, et al.
Published: (2026)
by: Yahyati, Chaymae, et al.
Published: (2026)
Differentiable, Bit-shifting, and Scalable Quantization without training neural network from scratch
by: Badar, Zia
Published: (2025)
by: Badar, Zia
Published: (2025)
MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity
by: Choi, Kanghyun, et al.
Published: (2024)
by: Choi, Kanghyun, et al.
Published: (2024)
Optimal Transport for Handwritten Text Recognition in a Low-Resource Regime
by: Wraight, Petros Georgoulas, et al.
Published: (2025)
by: Wraight, Petros Georgoulas, et al.
Published: (2025)
The Curse of Conditions: Analyzing and Improving Optimal Transport for Conditional Flow-Based Generation
by: Cheng, Ho Kei, et al.
Published: (2025)
by: Cheng, Ho Kei, et al.
Published: (2025)
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
by: Choi, Jaemoo, et al.
Published: (2024)
by: Choi, Jaemoo, et al.
Published: (2024)
LUQ: Layerwise Ultra-Low Bit Quantization for Multimodal Large Language Models
by: Bhatnagar, Shubhang, et al.
Published: (2025)
by: Bhatnagar, Shubhang, et al.
Published: (2025)
Is Hierarchical Quantization Essential for Optimal Reconstruction?
by: Reyhanian, Shirin, et al.
Published: (2026)
by: Reyhanian, Shirin, et al.
Published: (2026)
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
by: Feng, Weilun, et al.
Published: (2024)
by: Feng, Weilun, et al.
Published: (2024)
Exploring Diffusion and Flow Matching Under Generator Matching
by: Patel, Zeeshan, et al.
Published: (2024)
by: Patel, Zeeshan, et al.
Published: (2024)
Efficient Multi-bit Quantization Network Training via Weight Bias Correction and Bit-wise Coreset Sampling
by: Kim, Jinhee, et al.
Published: (2025)
by: Kim, Jinhee, et al.
Published: (2025)
Variational Rectified Flow Matching
by: Guo, Pengsheng, et al.
Published: (2025)
by: Guo, Pengsheng, et al.
Published: (2025)
Entropy-Controlled Flow Matching
by: Maduabuchi, Chika
Published: (2026)
by: Maduabuchi, Chika
Published: (2026)
High-Fidelity Human Avatars from Laptop Webcams using Edge Compute
by: Haridas, Akash, et al.
Published: (2025)
by: Haridas, Akash, et al.
Published: (2025)
Q$^2$: Quantization-Aware Gradient Balancing and Attention Alignment for Low-Bit Quantization
by: Wang, Zhaoyang, et al.
Published: (2025)
by: Wang, Zhaoyang, et al.
Published: (2025)
SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
by: Li, Muyang, et al.
Published: (2024)
by: Li, Muyang, et al.
Published: (2024)
Enhancing Vector Quantization with Distributional Matching: A Theoretical and Empirical Study
by: Fang, Xianghong, et al.
Published: (2025)
by: Fang, Xianghong, et al.
Published: (2025)
MEC-Quant: Maximum Entropy Coding for Extremely Low Bit Quantization-Aware Training
by: Pang, Junbiao, et al.
Published: (2025)
by: Pang, Junbiao, et al.
Published: (2025)
CondiQuant: Condition Number Based Low-Bit Quantization for Image Super-Resolution
by: Liu, Kai, et al.
Published: (2025)
by: Liu, Kai, et al.
Published: (2025)
EfficientDM: Efficient Quantization-Aware Fine-Tuning of Low-Bit Diffusion Models
by: He, Yefei, et al.
Published: (2023)
by: He, Yefei, et al.
Published: (2023)
Gaussian Mixture Flow Matching Models
by: Chen, Hansheng, et al.
Published: (2025)
by: Chen, Hansheng, et al.
Published: (2025)
Flow Matching with Uncertainty Quantification and Guidance
by: Han, Juyeop, et al.
Published: (2026)
by: Han, Juyeop, et al.
Published: (2026)
Learning Straight Flows: Variational Flow Matching for Efficient Generation
by: Ma, Chenrui, et al.
Published: (2025)
by: Ma, Chenrui, et al.
Published: (2025)
The Coupling Within: Flow Matching via Distilled Normalizing Flows
by: Berthelot, David, et al.
Published: (2026)
by: Berthelot, David, et al.
Published: (2026)
Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation
by: Cao, Yang, et al.
Published: (2025)
by: Cao, Yang, et al.
Published: (2025)
High-Fidelity Facial Albedo Estimation via Texture Quantization
by: Ran, Zimin, et al.
Published: (2024)
by: Ran, Zimin, et al.
Published: (2024)
Similar Items
-
Unsupervised Urban Tree Biodiversity Mapping from Street-Level Imagery Using Spatially-Aware Visual Clustering
by: Abuhani, Diaa Addeen, et al.
Published: (2025) -
COT-FM: Cluster-wise Optimal Transport Flow Matching
by: Chiang, Chiensheng, et al.
Published: (2026) -
Technical Report: Activation Residual Hessian Quantization (ARHQ) for Low-Bit LLM Quantization
by: Wang, YiFeng, et al.
Published: (2026) -
Preventing Local Pitfalls in Vector Quantization via Optimal Transport
by: Zhang, Borui, et al.
Published: (2024) -
MARR: Module-Adaptive Residual Reconstruction for Low-Bit Post-Training Quantization
by: Su, Le, et al.
Published: (2026)