| MEMFOF-L |
- Average End-Point Error
- 0.963
|
MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation 2025-06-29 |
코드 1 |
| GMFlow |
- Average End-Point Error
- 1.03
|
Unifying Flow, Stereo and Depth Estimation 2022-11-10 |
코드 1 |
| DPFlow |
- Average End-Point Error
- 1.046
|
DPFlow: Adaptive Optical Flow Estimation with a Dual-Pyramid Framework 2025-03-19 |
코드 1 |
| CroCo-Flow |
- Average End-Point Error
- 1.092
|
CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow 2022-11-18 |
코드 1 |
| FlowFormer |
- Average End-Point Error
- 1.16
|
FlowFormer: A Transformer Architecture for Optical Flow 2022-03-30 |
코드 1 |
| Ef-RAFT |
- Average End-Point Error
- 1.27
|
Rethinking RAFT for Efficient Optical Flow 2024-01-01 |
코드 1 |
| RPKNet |
- Average End-Point Error
- 1.315
|
Recurrent Partial Kernel Network for Efficient Optical Flow Estimation 2024-02-01 |
코드 1 |
| GMA |
- Average End-Point Error
- 1.388
|
Learning to Estimate Hidden Motions with Global Motion Aggregation 2021-04-06 |
코드 1 · 코드 2 |
| GMFlowNet |
- Average End-Point Error
- 1.390
|
Global Matching with Overlapping Attention for Optical Flow Estimation 2022-03-21 |
코드 1 |
| DEQ-Flow-H |
- Average End-Point Error
- 1.519
|
Deep Equilibrium Optical Flow Estimation 2022-04-18 |
코드 1 |
| RAFT (warm-start) |
- Average End-Point Error
- 1.609
|
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow 2020-03-26 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 · 코드 13 · 코드 14 · 코드 15 · 코드 16 · 코드 17 |
| Perceiver IO |
- Average End-Point Error
- 1.81
|
Perceiver IO: A General Architecture for Structured Inputs & Outputs 2021-07-30 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 |
| RAPIDFlow |
- Average End-Point Error
- 2.03
|
RAPIDFlow: Recurrent Adaptable Pyramids with Iterative Decoding for Efficient Optical Flow Estimation 2024-05-01 |
코드 1 |
| MaskFlownet |
- Average End-Point Error
- 2.52
|
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask 2020-03-24 |
코드 1 · 코드 2 · 코드 3 |
| MR-Flow |
- Average End-Point Error
- 2.53
|
Optical Flow in Mostly Rigid Scenes 2017-05-03 |
연결 없음 |
| MaskFlownet-S |
- Average End-Point Error
- 2.77
|
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask 2020-03-24 |
코드 1 · 코드 2 · 코드 3 |
| ProFlow+ft |
- Average End-Point Error
- 2.82
|
ProFlow: Learning to Predict Optical Flow 2018-06-03 |
연결 없음 |
| LiteFlowNet3 |
- Average End-Point Error
- 2.99
|
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation 2020-07-18 |
코드 1 |
| LiteFlowNet3-S |
- Average End-Point Error
- 3.03
|
LiteFlowNet3: Resolving Correspondence Ambiguity for More Accurate Optical Flow Estimation 2020-07-18 |
코드 1 |
| LiteFlowNet2-ft |
- Average End-Point Error
- 3.48
|
A Lightweight Optical Flow CNN -- Revisiting Data Fidelity and Regularization 2019-03-15 |
코드 1 · 코드 2 · 코드 3 |
| ScopeFlow |
- Average End-Point Error
- 3.592
|
ScopeFlow: Dynamic Scene Scoping for Optical Flow 2020-02-25 |
코드 1 |
| FDFlowNet-ft |
- Average End-Point Error
- 3.71
|
FDFlowNet: Fast Optical Flow Estimation using a Deep Lightweight Network 2020-06-22 |
연결 없음 |
| SelFlow |
- Average End-Point Error
- 3.74
|
SelFlow: Self-Supervised Learning of Optical Flow 2019-04-19 |
코드 1 |
| IRR-PWC |
- Average End-Point Error
- 3.84
|
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation 2019-04-10 |
코드 1 · 코드 2 |
| FlowNet2 |
- Average End-Point Error
- 3.96
|
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks 2016-12-06 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 · 코드 9 · 코드 10 · 코드 11 · 코드 12 |
| LiteFlowNet-ft |
- Average End-Point Error
- 4.54
|
LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation 2018-05-18 |
코드 1 · 코드 2 · 코드 3 · 코드 4 |
| UnrolledCost |
- Average End-Point Error
- 4.69
|
Cost Function Unrolling in Unsupervised Optical Flow 2020-11-30 |
코드 1 |
| FastFlowNet-ft |
- Average End-Point Error
- 4.89
|
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation 2021-03-08 |
코드 1 · 코드 2 |
| Spynet |
- Average End-Point Error
- 6.64
|
Optical Flow Estimation using a Spatial Pyramid Network 2016-11-03 |
코드 1 · 코드 2 · 코드 3 · 코드 4 · 코드 5 · 코드 6 · 코드 7 · 코드 8 |