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Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound
Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani, Seyed Iranmanesh, Nasser Nasrabadi
Neural Information Processing Systems http://nips.cc/
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Rethinking No-reference Image Exposure Assessment from Holism to Pixel: Models, Datasets and Benchmarks Shuai He
Assessment (IEA) is now being accorded serious attention.
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TPC: Test-time Procrustes Calibration for Diffusion-based Human Image Animation
As shown in the left experiments, for a given target pose, adjusting the composition of the same human in the reference image ( i .
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Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models
In this work, we present MuDI, a novel framework that enables multi-subject personalization by effectively decoupling identities from multiple subjects.
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Latent Intrinsics Emerge from Training to Relight
However error control for inverse graphics is difficult, and inverse graphics methods can represent only the effects of the chosen intrinsics.
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StyleDrop: Text-to-Image Generation in Any Style Kihyuk Sohn Nataniel Ruiz Kimin Lee Daniel Castro Chin Irina Blok Huiwen Chang
Pre-trained large text-to-image models synthesize impressive images with an appropriate use of text prompts.
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