Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
No official code found. Best implementation: deep-optimization/Morse (11 stars, Apache-2.0, last commit 2025-06-23).
No official code found. Best implementation: deep-optimization/Morse (11 stars, Apache-2.0, last commit 2025-06-23).
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks
Intersecting-Boundary-Sensitive Fingerprinting for Tampering Detection of DNN Models
TAU-106K: A New Dataset for Comprehensive Understanding of Traffic Accident
Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions
NUDGE: Lightweight Non-Parametric Fine-Tuning of Embeddings for Retrieval
@article{li2026morse,
title = {Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models},
author = {Chao Li and Jiawei Fan and Anbang Yao},
year = {2026},
doi = {10.48550/arXiv.2506.18251},
url = {https://doi.org/10.48550/arXiv.2506.18251},
journal = {ICML 2025 2025}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/421e791dfa3c308ee2f25f317efb855be54c4be3)