Trajectory-Consistent Calibration for Cache-Accelerated Diffusion Models
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Mingyu, Xu, Dingkun, Xu, Jingwei |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
by: Cui, Zhuo-Xu, et al.
Published: (2023)
by: Cui, Zhuo-Xu, et al.
Published: (2023)
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models
by: Sung, Mingyu, et al.
Published: (2025)
by: Sung, Mingyu, et al.
Published: (2025)
TC-Padé: Trajectory-Consistent Padé Approximation for Diffusion Acceleration
by: Cui, Benlei, et al.
Published: (2026)
by: Cui, Benlei, et al.
Published: (2026)
Accelerating Rectified Flow Models via Trajectory-Aware Caching
by: Liu, Xiao, et al.
Published: (2026)
by: Liu, Xiao, et al.
Published: (2026)
SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models
by: Chung, Jiwoo, et al.
Published: (2026)
by: Chung, Jiwoo, et al.
Published: (2026)
FORA: Fast-Forward Caching in Diffusion Transformer Acceleration
by: Selvaraju, Pratheba, et al.
Published: (2024)
by: Selvaraju, Pratheba, et al.
Published: (2024)
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
by: Wimbauer, Felix, et al.
Published: (2023)
by: Wimbauer, Felix, et al.
Published: (2023)
Forecast then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers
by: Zheng, Shikang, et al.
Published: (2025)
by: Zheng, Shikang, et al.
Published: (2025)
Evolutionary Caching to Accelerate Your Off-the-Shelf Diffusion Model
by: Aggarwal, Anirud, et al.
Published: (2025)
by: Aggarwal, Anirud, et al.
Published: (2025)
MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification
by: Liu, Dingkun, et al.
Published: (2025)
by: Liu, Dingkun, et al.
Published: (2025)
WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching
by: Feng, Weilun, et al.
Published: (2026)
by: Feng, Weilun, et al.
Published: (2026)
HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-then-Forecast Diffusion Acceleration
by: Feng, Liang, et al.
Published: (2025)
by: Feng, Liang, et al.
Published: (2025)
CacheQuant: Comprehensively Accelerated Diffusion Models
by: Liu, Xuewen, et al.
Published: (2025)
by: Liu, Xuewen, et al.
Published: (2025)
ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration
by: Cao, Fanpu, et al.
Published: (2025)
by: Cao, Fanpu, et al.
Published: (2025)
Accelerating Diffusion Transformer via Gradient-Optimized Cache
by: Qiu, Junxiang, et al.
Published: (2025)
by: Qiu, Junxiang, et al.
Published: (2025)
Accelerating Diffusion Transformer via Error-Optimized Cache
by: Qiu, Junxiang, et al.
Published: (2025)
by: Qiu, Junxiang, et al.
Published: (2025)
SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching
by: Haghighi, Yasaman, et al.
Published: (2026)
by: Haghighi, Yasaman, et al.
Published: (2026)
SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation
by: Liu, Hongjian, et al.
Published: (2024)
by: Liu, Hongjian, et al.
Published: (2024)
FasterCache: Training-Free Video Diffusion Model Acceleration with High Quality
by: Lv, Zhengyao, et al.
Published: (2024)
by: Lv, Zhengyao, et al.
Published: (2024)
BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching
by: Cui, Hanshuai, et al.
Published: (2025)
by: Cui, Hanshuai, et al.
Published: (2025)
Learning-to-Cache: Accelerating Diffusion Transformer via Layer Caching
by: Ma, Xinyin, et al.
Published: (2024)
by: Ma, Xinyin, et al.
Published: (2024)
Token Caching for Diffusion Transformer Acceleration
by: Lou, Jinming, et al.
Published: (2024)
by: Lou, Jinming, et al.
Published: (2024)
Frequency-Aware Error-Bounded Caching for Accelerating Diffusion Transformers
by: Li, Guandong
Published: (2026)
by: Li, Guandong
Published: (2026)
Less is Enough: Training-Free Video Diffusion Acceleration via Runtime-Adaptive Caching
by: Zhou, Xin, et al.
Published: (2025)
by: Zhou, Xin, et al.
Published: (2025)
Foresight Diffusion: Improving Sampling Consistency in Predictive Diffusion Models
by: Zhang, Yu, et al.
Published: (2025)
by: Zhang, Yu, et al.
Published: (2025)
Rethinking Token-wise Feature Caching: Accelerating Diffusion Transformers with Dual Feature Caching
by: Zou, Chang, et al.
Published: (2024)
by: Zou, Chang, et al.
Published: (2024)
FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis
by: Xu, Xichen, et al.
Published: (2025)
by: Xu, Xichen, et al.
Published: (2025)
Diffusion4D: Fast Spatial-temporal Consistent 4D Generation via Video Diffusion Models
by: Liang, Hanwen, et al.
Published: (2024)
by: Liang, Hanwen, et al.
Published: (2024)
Relational Feature Caching for Accelerating Diffusion Transformers
by: Son, Byunggwan, et al.
Published: (2026)
by: Son, Byunggwan, et al.
Published: (2026)
ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models
by: Kong, Fei, et al.
Published: (2023)
by: Kong, Fei, et al.
Published: (2023)
Self-Calibrated Consistency can Fight Back for Adversarial Robustness in Vision-Language Models
by: Liu, Jiaxiang, et al.
Published: (2025)
by: Liu, Jiaxiang, et al.
Published: (2025)
LAPTOP-Diff: Layer Pruning and Normalized Distillation for Compressing Diffusion Models
by: Zhang, Dingkun, et al.
Published: (2024)
by: Zhang, Dingkun, et al.
Published: (2024)
Calibrated Cache Model for Few-Shot Vision-Language Model Adaptation
by: Ding, Kun, et al.
Published: (2024)
by: Ding, Kun, et al.
Published: (2024)
Calibration Attention: Learning Reliability-Aware Representations for Vision Transformers
by: Liang, Wenhao, et al.
Published: (2025)
by: Liang, Wenhao, et al.
Published: (2025)
FreqCa: Accelerating Diffusion Models via Frequency-Aware Caching
by: Liu, Jiacheng, et al.
Published: (2025)
by: Liu, Jiacheng, et al.
Published: (2025)
FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion
by: Luo, Xiangyang, et al.
Published: (2025)
by: Luo, Xiangyang, et al.
Published: (2025)
ColorizeDiffusion: Adjustable Sketch Colorization with Reference Image and Text
by: Yan, Dingkun, et al.
Published: (2024)
by: Yan, Dingkun, et al.
Published: (2024)
DiCache: Let Diffusion Model Determine Its Own Cache
by: Bu, Jiazi, et al.
Published: (2025)
by: Bu, Jiazi, et al.
Published: (2025)
Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference
by: Yu, Zihao, et al.
Published: (2023)
by: Yu, Zihao, et al.
Published: (2023)
Past- and Future-Informed KV Cache Policy with Salience Estimation in Autoregressive Video Diffusion
by: Chen, Hanmo, et al.
Published: (2026)
by: Chen, Hanmo, et al.
Published: (2026)
Similar Items
-
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
by: Cui, Zhuo-Xu, et al.
Published: (2023) -
H2-Cache: A Novel Hierarchical Dual-Stage Cache for High-Performance Acceleration of Generative Diffusion Models
by: Sung, Mingyu, et al.
Published: (2025) -
TC-Padé: Trajectory-Consistent Padé Approximation for Diffusion Acceleration
by: Cui, Benlei, et al.
Published: (2026) -
Accelerating Rectified Flow Models via Trajectory-Aware Caching
by: Liu, Xiao, et al.
Published: (2026) -
SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models
by: Chung, Jiwoo, et al.
Published: (2026)