Pose-Guided Image Generation
3 papers with code • 0 benchmarks • 0 datasets
Pose-guided image generation is the task of generating a new image of a person with guidance from pose information that the new image should synthesise around.
( Image credit: Coordinate-based Texture Inpainting for Pose-Guided Human Image Generation )
Benchmarks
These leaderboards are used to track progress in Pose-Guided Image Generation
Most implemented papers
Coordinate-based Texture Inpainting for Pose-Guided Image Generation
dolorousrtur/coordinate_based_inpainting
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Since the input photograph always observes only a part of the surface, we suggest a new inpainting method that completes the texture of the human body.
Reposing Humans by Warping 3D Features
We address the problem of reposing an image of a human into any desired novel pose.
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis
YanzuoLu/CFLD
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While existing methods simply align the person appearance to the target pose, they are prone to overfitting due to the lack of a high-level semantic understanding on the source person image.
