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Model Zoo

Model Original Paper Ours Configuration Train Input Size Uniform
STTR 0.43 0.40 sttr_flyingthings3d.yaml batchrandom -
PSMNet 1.09 0.95 psmnet_sceneflow.yaml 256x512 0.93
CFNet 1.04 0.96 cfnet_sceneflow.yaml 256x512 0.89
AANet 0.87 0.80 aanet_sceneflow.yaml 288x576 0.84
MobileStereo-2D 1.14 1.10 msnet2d_sceneflow.yaml 256x512 0.99
MobileStereo-3D 0.80 0.78 msnet3d_sceneflow.yaml 256x512 0.75
GwcNet 0.76 0.74 gwcnet_sceneflow.yaml 256x512 0.66
COEX 0.68 0.67 coex_sceneflow_amp.yaml 288x576 0.64
FADNet++ 0.76 0.65 fadnet_sceneflow.yaml 384x768 -
CasStereo 0.72 0.67 casnet_psm_sceneflow.yaml 256x512 0.58
IGEV 0.47 0.46 igev_sceneflow_amp.yaml 256x512 0.46
IGEV++ 0.43 0.44 igevpp_sceneflow_amp.yaml 256x768 0.38
IGEV_RT 0.50 0.52 igev_rt_sceneflow_amp.yaml 320x768 0.52
StereoBase (Ours) - 0.34 stereobase_sceneflow.yaml 320x736 0.34
FoundationStereo 0.34 0.34 foundationstereo_sceneflow.yaml 320x736 0.34
Monster 0.37 0.40 monster_sceneflow.yaml 320x736 0.33

Underline refers to evaluation in the non-occluded regions only. Uniform: consistent settings, including identical GPU hardware, execution environments, crop sizes, and the same optimizer and learning rate schedule.

Model EPE Configuration Train Input Size
LightStereo-S (Ours) 0.73 lightstereo_s_sceneflow.yaml 256x512
LightStereo-M (Ours) 0.62 lightstereo_m_sceneflow.yaml 256x512
LightStereo-L (Ours) 0.59 lightstereo_l_sceneflow.yaml 256x512
LightStereo-H (Ours) 0.51 lightstereo_lx_sceneflow.yaml 256x512
StereoBase (Ours) 0.34 stereobase_sceneflow.yaml 320x736

Model D1-bg D1-fg D1-all
PSMNet 1.86 4.62 2.32
PSMNet* 1.80 4.58 2.26
IGEV 1.38 2.67 1.59
IGEV* 1.44 2.31 1.59

The model without * indicates the results of the original paper. The model with * means the implementation of OpenStereo.

Model D1-bg D1-fg D1-all
LightStereo-S (Ours) 2.00 3.80 2.30
LightStereo-M (Ours) 1.81 3.22 2.04
LightStereo-L (Ours) 1.78 2.64 1.93
LightStereo-H (Ours) 1.60 2.92 1.82
StereoBase (Ours) 1.28 2.26 1.44

Access the checkpoint: BaiduDrive or Google Drive or Huggingface