TAP: A Token-Adaptive Predictor Framework for Training-Free Diffusion Acceleration
Fuente:
arXiv
Saved in:
| Main Authors: | Zhu, Haowei, Huang, Tingxuan, Wang, Xing, Zhao, Tianyu, Wang, Jiexi, Chen, Weifeng, Peng, Xurui, Chen, Fangmin, Yong, Junhai, Wang, Bin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Train Short, Inference Long: Training-free Horizon Extension for Autoregressive Video Generation
by: Li, Jia, et al.
Published: (2026)
by: Li, Jia, et al.
Published: (2026)
DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity
by: Zhu, Haowei, et al.
Published: (2026)
by: Zhu, Haowei, et al.
Published: (2026)
Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion
by: Liu, Songwei, et al.
Published: (2025)
by: Liu, Songwei, et al.
Published: (2025)
Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting
by: Huang, Tingxuan, et al.
Published: (2026)
by: Huang, Tingxuan, et al.
Published: (2026)
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models
by: Yan, Chenqian, et al.
Published: (2024)
by: Yan, Chenqian, et al.
Published: (2024)
ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion
by: Peng, Xurui, et al.
Published: (2025)
by: Peng, Xurui, et al.
Published: (2025)
DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation
by: jiao, Jiajun, et al.
Published: (2026)
by: jiao, Jiajun, et al.
Published: (2026)
Semantic Hierarchical Prompt Tuning for Parameter-Efficient Fine-Tuning
by: Zhu, Haowei, et al.
Published: (2024)
by: Zhu, Haowei, et al.
Published: (2024)
Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration
by: Han, Yuhang, et al.
Published: (2024)
by: Han, Yuhang, et al.
Published: (2024)
VisionTrim: Unified Vision Token Compression for Training-Free MLLM Acceleration
by: Yu, Hanxun, et al.
Published: (2026)
by: Yu, Hanxun, et al.
Published: (2026)
Accelerating Diffusion-based Super-Resolution with Dynamic Time-Spatial Sampling
by: Qin, Rui, et al.
Published: (2025)
by: Qin, Rui, et al.
Published: (2025)
RoBiS: Robust Binary Segmentation for High-Resolution Industrial Images
by: Li, Xurui, et al.
Published: (2025)
by: Li, Xurui, et al.
Published: (2025)
Denoising as Path Planning: Training-Free Acceleration of Diffusion Models with DPCache
by: Cui, Bowen, et al.
Published: (2026)
by: Cui, Bowen, et al.
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)
Enhancing and Accelerating Diffusion-Based Inverse Problem Solving through Measurements Optimization
by: Chen, Tianyu, et al.
Published: (2024)
by: Chen, Tianyu, et al.
Published: (2024)
PFDiff: Training-Free Acceleration of Diffusion Models Combining Past and Future Scores
by: Wang, Guangyi, et al.
Published: (2024)
by: Wang, Guangyi, et al.
Published: (2024)
TAP-ViTs: Task-Adaptive Pruning for On-Device Deployment of Vision Transformers
by: Wang, Zhibo, et al.
Published: (2026)
by: Wang, Zhibo, et al.
Published: (2026)
OccamToken: Efficient VLM Inference with Training-Free and Budget-Adaptive Token Pruning
by: Li, Geng, et al.
Published: (2026)
by: Li, Geng, et al.
Published: (2026)
Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration
by: Zeng, Fanhu, et al.
Published: (2025)
by: Zeng, Fanhu, et al.
Published: (2025)
AudioEditor: A Training-Free Diffusion-Based Audio Editing Framework
by: Jia, Yuhang, et al.
Published: (2024)
by: Jia, Yuhang, et al.
Published: (2024)
Training-free Diffusion Acceleration with Bottleneck Sampling
by: Tian, Ye, et al.
Published: (2025)
by: Tian, Ye, et al.
Published: (2025)
SDSAT: Accelerating LLM Inference through Speculative Decoding with Semantic Adaptive Tokens
by: Liu, Chengbo, et al.
Published: (2024)
by: Liu, Chengbo, et al.
Published: (2024)
DiffMagicFace: Identity Consistent Facial Editing of Real Videos
by: Yin, Huanghao, et al.
Published: (2026)
by: Yin, Huanghao, et al.
Published: (2026)
Nonlinear Optimal Guidance for Impact Time Control with Field-of-View Constraint
by: Lu, Fangmin, et al.
Published: (2025)
by: Lu, Fangmin, et al.
Published: (2025)
$Δ$-DiT: A Training-Free Acceleration Method Tailored for Diffusion Transformers
by: Chen, Pengtao, et al.
Published: (2024)
by: Chen, Pengtao, et al.
Published: (2024)
Dynamic Policy Induction for Adaptive Prompt Optimization: Bridging the Efficiency-Accuracy Gap via Lightweight Reinforcement Learning
by: Xu, Jiexi
Published: (2025)
by: Xu, Jiexi
Published: (2025)
Astraea: A Token-wise Acceleration Framework for Video Diffusion Transformers
by: Liu, Haosong, et al.
Published: (2025)
by: Liu, Haosong, et al.
Published: (2025)
Tree Training: Accelerating Agentic LLMs Training via Shared Prefix Reuse
by: Wang, Jinghui, et al.
Published: (2025)
by: Wang, Jinghui, et al.
Published: (2025)
Training-Free Efficient Video Generation via Dynamic Token Carving
by: Zhang, Yuechen, et al.
Published: (2025)
by: Zhang, Yuechen, et al.
Published: (2025)
GQSA: Group Quantization and Sparsity for Accelerating Large Language Model Inference
by: Zeng, Chao, et al.
Published: (2024)
by: Zeng, Chao, et al.
Published: (2024)
TAPNext: Tracking Any Point (TAP) as Next Token Prediction
by: Zholus, Artem, et al.
Published: (2025)
by: Zholus, Artem, et al.
Published: (2025)
Alkyne‐Dependent Synthesis of Pyrrolines and Propargylamines through Metal‐Free Decarboxylation
by: Ziqi Yi, et al.
Published: (2025)
by: Ziqi Yi, et al.
Published: (2025)
BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration
by: Lei, Zhenyu, et al.
Published: (2026)
by: Lei, Zhenyu, et al.
Published: (2026)
ZEUS: Accelerating Diffusion Models with Only Second-Order Predictor
by: Wang, Yixiao, et al.
Published: (2026)
by: Wang, Yixiao, et al.
Published: (2026)
Rerandomization for quantile treatment effects
by: Han, Tingxuan, et al.
Published: (2026)
by: Han, Tingxuan, et al.
Published: (2026)
Training-Free Adaptation of Diffusion Models via Doob's $h$-Transform
by: Zhu, Qijie, et al.
Published: (2026)
by: Zhu, Qijie, et al.
Published: (2026)
Adaptive Stochastic Coefficients for Accelerating Diffusion Sampling
by: Wang, Ruoyu, et al.
Published: (2025)
by: Wang, Ruoyu, et al.
Published: (2025)
TAP: Parameter-efficient Task-Aware Prompting for Adverse Weather Removal
by: Wang, Hanting, et al.
Published: (2025)
by: Wang, Hanting, et al.
Published: (2025)
PADE: A Predictor-Free Sparse Attention Accelerator via Unified Execution and Stage Fusion
by: Wang, Huizheng, et al.
Published: (2025)
by: Wang, Huizheng, et al.
Published: (2025)
Simulated Digestion and Fecal Fermentation Characteristics of Pumpkin Polysaccharide and the Anti‐Inflammatory Activity of Its Fermentation Products
by: Haizhao Song, et al.
Published: (2025)
by: Haizhao Song, et al.
Published: (2025)
Similar Items
-
Train Short, Inference Long: Training-free Horizon Extension for Autoregressive Video Generation
by: Li, Jia, et al.
Published: (2026) -
DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity
by: Zhu, Haowei, et al.
Published: (2026) -
Error Propagation Mechanisms and Compensation Strategies for Quantized Diffusion
by: Liu, Songwei, et al.
Published: (2025) -
Mango-GS: Enhancing Spatio-Temporal Consistency in Dynamic Scenes Reconstruction using Multi-Frame Node-Guided 4D Gaussian Splatting
by: Huang, Tingxuan, et al.
Published: (2026) -
Hybrid SD: Edge-Cloud Collaborative Inference for Stable Diffusion Models
by: Yan, Chenqian, et al.
Published: (2024)