ICLR 2026oral0 citations

WAFT: Warping-Alone Field Transforms for Optical Flow

Yihan Wang, Jia Deng

Abstract

We introduce Warping-Alone Field Transforms (WAFT), a simple and effective method for optical flow. WAFT is similar to RAFT but replaces cost volume with high-resolution warping, achieving better accuracy with lower memory cost. This design challenges the conventional wisdom that constructing cost volumes is nec- essary for strong performance. WAFT is a simple and flexible meta-architecture with minimal inductive biases and reliance on custom designs. Compared with existing methods, WAFT ranks 1st on Spring, Sintel, and KITTI benchmarks, achieves the best zero-shot generalization on KITTI, while being up to 4.1× faster than methods with similar performance. Code and model weights will be available upon acceptance.

Optical FlowComputer VisionWarpingDense Correspondences
BibTeX
@inproceedings{
wang2026waft,
title={{WAFT}: Warping-Alone Field Transforms for Optical Flow},
author={Yihan Wang and Jia Deng},
booktitle={The Fourteenth International Conference on Learning Representations},
year={2026},
url={https://openreview.net/forum?id=HTqGE0KcuF}
}