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Datasets:
igfbench-neurips2026
/
IGF-Bench

Tasks:
Depth Estimation
Image-to-Image
Text-to-Image
Modalities:
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Formats:
json
Languages:
English
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Tags:
3d-scene-understanding
monocular-depth-estimation
controlnet
diffusion-models
benchmark
evaluation
Libraries:
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License:
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  1. depth_results/gen/flux1/depthpro/d25e7cc7-46cf-4814-b9c8-eaa77a5fdc0c_Bedroom-56118/L0_empty/view_0.npy +3 -0
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  19. depth_results/gen/flux1/depthpro/d2a39d7a-6114-48dc-9141-4a7a5fa8dc51_LivingDiningRoom-10060/L2_full/view_2.npy +3 -0
  20. depth_results/gen/flux1/depthpro/d2a39d7a-6114-48dc-9141-4a7a5fa8dc51_LivingDiningRoom-10060/L2_full/view_3.npy +3 -0
  21. depth_results/gen/flux1/depthpro/d2c4b642-e01f-4e0f-a0d9-d77071aaac00_Bedroom-88021/L0_empty/view_0.npy +3 -0
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  31. depth_results/gen/flux1/depthpro/d2c4b642-e01f-4e0f-a0d9-d77071aaac00_Bedroom-88021/L2_full/view_2.npy +3 -0
  32. depth_results/gen/flux1/depthpro/d2c4b642-e01f-4e0f-a0d9-d77071aaac00_Bedroom-88021/L2_full/view_3.npy +3 -0
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