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Appearance Transfer

Transfer of the appearance from one object to another.

Papers

Showing 125 of 32 papers

TitleStatusHype
ZeST: Zero-Shot Material Transfer from a Single ImageCode3
Liquid Warping GAN with Attention: A Unified Framework for Human Image SynthesisCode2
Splicing ViT Features for Semantic Appearance TransferCode2
Neural Crossbreed: Neural Based Image MetamorphosisCode1
Few-Shot Human Motion Transfer by Personalized Geometry and Texture ModelingCode1
Fine-grained Appearance Transfer with Diffusion ModelsCode1
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View SynthesisCode1
Representation Learning for Visual Object Tracking by Masked Appearance TransferCode1
Unified Diffusion-Based Rigid and Non-Rigid Editing with Text and Image GuidanceCode1
Unsupervised Part-Based Disentangling of Object Shape and AppearanceCode1
Pose-Based Sign Language Appearance TransferCode0
Seeing is not Believing: An Identity Hider for Human Vision Privacy ProtectionCode0
Disentangling Structure and Appearance in ViT Feature Space0
Mask-guided cross-image attention for zero-shot in-silico histopathologic image generation with a diffusion model0
Modeling Object Appearance Using Context-Conditioned Component Analysis0
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs0
Adversarial Training for Adverse Conditions: Robust Metric Localisation using Appearance Transfer0
Pose-Guided High-Resolution Appearance Transfer via Progressive Training0
Visual Persona: Foundation Model for Full-Body Human Customization0
ReStyle3D: Scene-Level Appearance Transfer with Semantic Correspondences0
Semantix: An Energy Guided Sampler for Semantic Style Transfer0
Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance0
Style and Pose Control for Image Synthesis of Humans from a Single Monocular View0
Super-Resolution Appearance Transfer for 4D Human Performances0
Eye-for-an-eye: Appearance Transfer with Semantic Correspondence in Diffusion Models0
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