Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision | Paper Citation Record

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This paper cites Cartoon image processing: a survey.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Cartoon image processing: a survey

Reference 1

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Observation 442e1d15-28a1-4a8f-ae4c-e5bfbca8a167 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 2

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Observation 2dd60b6e-373f-4ed4-93e7-547c1d5e360c · outbound

This paper cites U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Reference 3

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This paper cites GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!).

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision GANs N' Roses: Stable, Controllable, Diverse Image to Image Translation (works for videos too!)

Reference 4

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Observation 624620dc-e582-4d7f-8373-f0e2b52bd068 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision A style-based generator architecture for generative adversarial networks

Reference 5

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This paper cites Analyzing and improving the image quality of stylegan.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Analyzing and improving the image quality of stylegan

Reference 6

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This paper cites StyleAlign: Analysis and Applications of Aligned StyleGAN Models.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision StyleAlign: Analysis and Applications of Aligned StyleGAN Models

Reference 7

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Observation e340de62-41bb-4716-b6e2-cb77e92e65ba · outbound

This paper cites Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains

Reference 8

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Observation 376e13b0-17db-497e-b1d4-7dfc83462fe8 · outbound

This paper cites Unsupervised image-to-image translation via pre-trained stylegan2 network.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Unsupervised image-to-image translation via pre-trained stylegan2 network

Reference 9

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Observation 499a3e61-2970-4331-ae0a-4d528e1f949f · outbound

This paper cites Agilegan: stylizing portraits by inversion-consistent transfer learning.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Agilegan: stylizing portraits by inversion-consistent transfer learning

Reference 10

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Observation f483501c-c152-4a31-8a8c-b06164376683 · outbound

This paper cites Pastiche master: Exemplar-based high-resolution portrait style transfer.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Pastiche master: Exemplar-based high-resolution portrait style transfer

Reference 11

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Observation e3a9cc8f-c597-4dbf-be30-79cc0bdba66b · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 12

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Observation f1e02671-abb3-443b-a9cf-55c5941d2b1d · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision High-resolution image synthesis with latent diffusion models

Reference 13

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Observation 49f0fff3-3225-4e85-b7cc-00c13e2ba296 · outbound

This paper cites Diffusion in style.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Diffusion in style

Reference 14

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Observation b807b384-ecb6-4052-9a5d-d1e63e7993d7 · outbound

This paper cites Stylediffusion: Controllable disentangled style transfer via diffusion models.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Stylediffusion: Controllable disentangled style transfer via diffusion models

Reference 15

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Observation a3e63f41-1b61-46c7-b68e-2a6aad20fd99 · outbound

This paper cites Inversion-based style transfer with diffusion models.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Inversion-based style transfer with diffusion models

Reference 16

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Observation 0fbda3ec-a7a7-4d44-965e-8eaa27bdd2c5 · outbound

This paper cites Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Style injection in diffusion: A training-free approach for adapting large-scale diffusion models for style transfer

Reference 17

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Observation 56255dd7-3dc8-405f-8193-558ba7a90634 · outbound

This paper cites Generative adversarial nets.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Generative adversarial nets

Reference 18

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Observation 203c751c-1313-44bd-8cd9-be10adec2422 · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 19

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This paper cites Image-to-image translation with conditional adversarial networks.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Image-to-image translation with conditional adversarial networks

Reference 20

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Observation b8da4515-4c6a-46f5-b6b7-db8f3cf9e193 · outbound

This paper cites Conditional Generative Adversarial Nets.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Conditional Generative Adversarial Nets

Reference 21

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This paper cites Dualgan: Unsupervised dual learning for image-to-image translation.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Dualgan: Unsupervised dual learning for image-to-image translation

Reference 22

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This paper cites Learning to discover cross-domain relations with generative adversarial networks.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Learning to discover cross-domain relations with generative adversarial networks

Reference 23

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Observation c28d79e2-efba-4536-8f96-67572404e3a7 · outbound

This paper cites Image style transfer using convolutional neural networks.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Image style transfer using convolutional neural networks

Reference 24

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This paper cites Texture Networks: Feed-forward Synthesis of Textures and Stylized Images.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Reference 25

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Observation 7bf3a195-cd35-4fe2-ab17-585fd86023f8 · outbound

This paper cites Arbitrary style transfer in real-time with adaptive instance normalization.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Arbitrary style transfer in real-time with adaptive instance normalization

Reference 27

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Observation 1f481011-6037-4141-8f79-0db5c9eec9a8 · outbound

This paper cites Arbitrary style transfer with style-attentional networks.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Arbitrary style transfer with style-attentional networks

Reference 28

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Observation f4d922fc-16ed-4496-b4b3-365ed80db742 · outbound

This paper cites Dynamic instance normalization for arbitrary style transfer.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Dynamic instance normalization for arbitrary style transfer

Reference 29

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Observation 49c815d0-a29c-4ef4-b316-daad91dc61c2 · outbound

This paper cites Artflow: Unbiased image style transfer via reversible neural flows.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Artflow: Unbiased image style transfer via reversible neural flows

Reference 30

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Observation 197173a4-6bc6-466f-b07b-02f2a9c36647 · outbound

This paper cites Styleformer: Real-time arbitrary style transfer via parametric style composition.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Styleformer: Real-time arbitrary style transfer via parametric style composition

Reference 31

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This paper cites Stytr2: Image style transfer with transformers.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Stytr2: Image style transfer with transformers

Reference 32

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This paper cites General image-to-image translation with one-shot image guidance.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision General image-to-image translation with one-shot image guidance

Reference 33

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Observation 248dcca3-4dbe-42e5-900c-f6cf253aa652 · outbound

This paper cites Null-text guidance in diffusion models is secretly a cartoon-style creator.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Null-text guidance in diffusion models is secretly a cartoon-style creator

Reference 34

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Observation 68000b11-df7f-4b9b-b556-6f1df1eba714 · outbound

This paper cites Gan inversion: A survey.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Gan inversion: A survey

Reference 35

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Observation 8524c1eb-cea4-4fda-9921-ff0654d950be · outbound

This paper cites Interpreting the latent space of gans for semantic face editing.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Interpreting the latent space of gans for semantic face editing

Reference 36

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Observation 79fafd35-cf03-47a5-905f-8420a19eba25 · outbound

This paper cites Ganspace: Discovering interpretable gan controls.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Ganspace: Discovering interpretable gan controls

Reference 37

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This paper cites Stylespace analysis: Disentangled controls for stylegan image generation.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Stylespace analysis: Disentangled controls for stylegan image generation

Reference 38

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Observation a84ab9df-df5d-4150-860e-4420510d4a68 · outbound

This paper cites Styleclip: Text-driven manipulation of stylegan imagery.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Styleclip: Text-driven manipulation of stylegan imagery

Reference 39

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Observation af5bdca2-2043-4671-8d23-cb20ce28934b · outbound

This paper cites Closed-form factorization of latent semantics in gans.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Closed-form factorization of latent semantics in gans

Reference 40

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Observation 0b2c8ce2-90e3-4d53-bdde-b07a43eb88c9 · outbound

This paper cites Image2stylegan: How to embed images into the stylegan latent space? In Proceedings of the IEEE/CVF international conference on computer vision, pages 4432–4441, 2019.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Image2stylegan: How to embed images into the stylegan latent space? In Proceedings of the IEEE/CVF international conference on computer vision, pages 4432–4441, 2019

Reference 41

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Observation 7aaf1759-01d5-407a-88f8-325627631a6e · outbound

This paper cites Image2stylegan++: How to edit the embedded images? In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 8296–8305, 2020.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Image2stylegan++: How to edit the embedded images? In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pages 8296–8305, 2020

Reference 42

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Observation f8f94b6f-b801-4ab0-9993-fc031318849d · outbound

This paper cites Encoding in style: a stylegan encoder for image-to-image translation.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Encoding in style: a stylegan encoder for image-to-image translation

Reference 43

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Observation 3da0a433-656c-44d7-8121-34d180596621 · outbound

This paper cites Designing an encoder for stylegan image manipulation.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Designing an encoder for stylegan image manipulation

Reference 44

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Observation 936ba1cf-5ed4-4ade-9b9a-be2e40090563 · outbound

This paper cites Restyle: A residual-based stylegan encoder via iterative refinement.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Restyle: A residual-based stylegan encoder via iterative refinement

Reference 45

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Observation ab1c2e25-8761-4016-a7b1-b8807ad89a60 · outbound

This paper cites Perceptual losses for real-time style transfer and super-resolution.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Perceptual losses for real-time style transfer and super-resolution

Reference 46

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Observation 8ce8a7ab-4a4b-463d-bc2e-38e3b20aff0a · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Arcface: Additive angular margin loss for deep face recognition

Reference 47

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Observation f97a3d01-b5d7-4fac-a0a6-ac3029963ed0 · outbound

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Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision The unreasonable effectiveness of deep features as a perceptual metric

Reference 48

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This paper cites Danbooru2019 portraits: A large-scale anime head illustration dataset.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Danbooru2019 portraits: A large-scale anime head illustration dataset

Reference 49

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Observation b012e88c-c2ea-4bb3-ac94-ab5c734a9aa0 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 50

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This paper cites A method for stochastic optimization.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision A method for stochastic optimization

Reference 51

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Observation 8060415f-c443-43c5-8f5f-a4bd6dcb48c8 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Very deep convolutional networks for large-scale image recognition

Reference 52

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This paper cites Imagenet classification with deep convolutional neural networks.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Imagenet classification with deep convolutional neural networks

Reference 53

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This paper cites Rethinking fid: Towards a better evaluation metric for image generation.

Advancing Facial Stylization through Semantic Preservation Constraint and Pseudo-Paired Supervision Rethinking fid: Towards a better evaluation metric for image generation

Reference 54

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