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 necessary 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 and KITTI benchmarks, achieves the best zero-shot generalization on KITTI, while being up to 4.1x faster than methods with similar performance. Code and model weights are available at this https URL.
Abstract (translated)
我们介绍了Warping-Alone Field Transforms（WAFT），这是一种简单而有效的方法，用于光流分析。WAFT与RAFT类似，但用高分辨率的图像扭曲操作替代了成本体(volume of cost)，从而在降低内存消耗的同时提高了准确性。这一设计挑战了传统的观点，即构建成本体积是实现高性能所必需的。WAFT是一种简单且灵活的元架构，具有最小的归纳偏差和对定制设计的依赖性。 与现有方法相比，在Spring和KITTI基准测试中，WAFT排名第一，并在KITTI上实现了最佳的零样本泛化能力，同时比性能相似的方法快4.1倍。代码和模型权重可在该链接（此URL）获取。
URL
https://arxiv.org/abs/2506.21526
