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Dec 8, 2021 · A fully context-aware image generator, which adaptively and progressively refines low-level visual representations at multiple scales with the (stochastic) ...
A fully context-aware image generator, which adaptively and progressively refines low-level visual representations at multiple scales with the (stochastic) ...
We exploit multi-scale semantic priors in a feature pyramid manner to achieve consistent understanding of both gloabl and local context. The image generator is ...
Nov 1, 2023 · SPN consists of two components. First, it distills semantic priors from a pretext model into a multi-scale feature pyramid, achieving a ...
A comprehensive review of the current image or video inpainting approaches, with a specific focus on transformer-based techniques, with the goal to ...
Sep 12, 2024 · First, it distills semantic priors from a pretext model into a multi-scale feature pyramid, achieving a consistent understanding of the global ...
The approach voxelizes the scene and predicts for each voxel if it is occupied and, if it is occupied, the semantic class label. In this work, we propose a two ...
These results suggest that our method successfully reduces the context ambiguities in missing regions and obtains more complete visual concepts for foreground ...
Missing: pyramid. | Show results with:pyramid.
Jun 14, 2021 · A context-aware image inpainting model, which adaptively integrates global semantics and local features in a unified image generator that ...
Image Inpainting is a task of reconstructing missing regions in an image. It is an important problem in computer vision and an essential functionality in ...