Photographic Image Synthesis with Cascaded Refinement Networks

We present an approach to synthesizing photographic images conditioned on semantic layouts. Given a semantic label map, our approach produces an image with photographic appearance that conforms to the input layout... (read more)

PDF Abstract ICCV 2017 PDF ICCV 2017 Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image-to-Image Translation ADE20K Labels-to-Photos CRN mIoU 22.4 # 4
Accuracy 68.8% # 4
FID 73.3 # 5
Image-to-Image Translation ADE20K-Outdoor Labels-to-Photos CRN mIoU 16.5 # 4
Accuracy 68.6% # 4
FID 99.0 # 6
Image-to-Image Translation Cityscapes Labels-to-Photo CRN Per-pixel Accuracy 77.1% # 4
mIoU 52.4 # 5
FID 104.7 # 7

Results from Other Papers


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK SOURCE PAPER COMPARE
Image-to-Image Translation COCO-Stuff Labels-to-Photos CRN mIoU 23.7 # 4
Accuracy 40.4% # 4
FID 70.4 # 4

Methods used in the Paper