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Image Rescaling

Image rescaling is a bidirectional operation, which first downscales high-resolution images to fit various display screens or to be storage- and bandwidth-friendly, and afterward upscales the corresponding low-resolution images to recover the original resolution or the details in the zoom-in images.

Papers

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Showing 11–20 of 22 papers

TitleStatusHype
Timestep-Aware Diffusion Model for Extreme Image Rescaling—0
Boundary-aware Decoupled Flow Networks for Realistic Extreme RescalingCode0
Invertible Residual Rescaling ModelsCode0
Raising The Limit Of Image Rescaling Using Auxiliary Encoding—0
DINN360: Deformable Invertible Neural Network for Latitude-Aware 360deg Image RescalingCode0
Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images—0
Effective Invertible Arbitrary Image Rescaling—0
Enhancing Image Rescaling using Dual Latent Variables in Invertible Neural NetworkCode0
Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence—0
Approaching the Limit of Image Rescaling via Flow Guidance—0
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