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Deep person generation: A survey from the perspective of face, pose, and cloth synthesis
Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shop**, and art/movie …
applications in virtual agents, video conferencing, online shop**, and art/movie …
Pise: Person image synthesis and editing with decoupled gan
Person image synthesis, eg, pose transfer, is a challenging problem due to large variation
and occlusion. Existing methods have difficulties predicting reasonable invisible regions and …
and occlusion. Existing methods have difficulties predicting reasonable invisible regions and …
Smart fashion: a review of AI applications in the Fashion & Apparel Industry
SO Mohammadi, A Kalhor - ar** for non-rigid human image generation …
Scam! transferring humans between images with semantic cross attention modulation
A large body of recent work targets semantically conditioned image generation. Most such
methods focus on the narrower task of pose transfer and ignore the more challenging task of …
methods focus on the narrower task of pose transfer and ignore the more challenging task of …
AFFIRM: affinity fusion-based framework for iteratively random motion correction of multi-slice fetal brain MRI
Multi-slice magnetic resonance images of the fetal brain are usually contaminated by severe
and arbitrary fetal and maternal motion. Hence, stable and robust motion correction is …
and arbitrary fetal and maternal motion. Hence, stable and robust motion correction is …
Pose-and attribute-consistent person image synthesis
Person Image Synthesis aims at transferring the appearance of the source person image
into a target pose. Existing methods cannot handle large pose variations and therefore suffer …
into a target pose. Existing methods cannot handle large pose variations and therefore suffer …