DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization | Paper Citation Record

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This paper cites GPT-4 Technical Report.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization GPT-4 Technical Report

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Emerg- ing properties in self-supervised vision transformers

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This paper cites Muse: Text- to-image generation via masked generative transformers.Pro- ceedings of the 40th International Conference on Machine Learning, 202, 2023.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Muse: Text- to-image generation via masked generative transformers.Pro- ceedings of the 40th International Conference on Machine Learning, 202, 2023

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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This paper cites An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

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This paper cites Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings

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This paper cites Diffusion with offset noise.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Diffusion with offset noise

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This paper cites Svdiff: Compact parame- ter space for diffusion fine-tuning.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Svdiff: Compact parame- ter space for diffusion fine-tuning

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This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Prompt-to-Prompt Image Editing with Cross Attention Control

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This paper cites Style aligned image generation via shared at- tention.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Style aligned image generation via shared at- tention

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This paper cites Classifier-Free Diffusion Guidance.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Classifier-Free Diffusion Guidance

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Denoising dif- fusion probabilistic models

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This paper cites Parameter-efficient transfer learning for nlp.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Parameter-efficient transfer learning for nlp

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This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization LoRA: Low-Rank Adaptation of Large Language Models

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This paper cites Visual Style Prompting with Swapping Self-Attention.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Visual Style Prompting with Swapping Self-Attention

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This paper cites Pick-a-pic: An open dataset of user preferences for text-to-image generation.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Pick-a-pic: An open dataset of user preferences for text-to-image generation

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This paper cites The singular value decompo- sition: Its computation and some applications.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization The singular value decompo- sition: Its computation and some applications

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This paper cites Multi-concept customization of text- to-image diffusion.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Multi-concept customization of text- to-image diffusion

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This paper cites Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion Models

Reference 19

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This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization The Power of Scale for Parameter-Efficient Prompt Tuning

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This paper cites Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models

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This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Gpt understands, too

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This paper cites Locating and editing factual associations in gpt.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Locating and editing factual associations in gpt

Reference 24

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This paper cites Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Null-text inversion for editing real im- ages using guided diffusion models

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization DINOv2: Learning Robust Visual Features without Supervision

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This paper cites MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization MoA: Mixture-of-Attention for Subject-Context Disentanglement in Personalized Image Generation

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization aMUSEd: An Open MUSE Reproduction

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Feature projection for im- proved text classification

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Learning transferable visual models from natural language supervi- sion

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Direct prefer- ence optimization: Your language model is secretly a reward model

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Zero-shot text-to-image generation

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization High-resolution image synthesis with latent diffusion models

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization U- net: Convolutional networks for biomedical image segmen- tation

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Dreambooth: Fine tuning text-to-image diffusion models for subject-driven gen- eration

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Photorealistic text-to-image diffusion models with deep lan- guage understanding

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Zur theorie der linearen und nichtlinearen in- tegralgleichungen

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Ziplora: Any subject in any style by effectively merging loras

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Ziplora-pytorch

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization StyleDrop: Text-to-Image Generation in Any Style

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Measuring Style Similarity in Diffusion Models

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Denoising Diffusion Implicit Models

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This paper cites Key-locked rank one editing for text-to-image personaliza- tion.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Key-locked rank one editing for text-to-image personaliza- tion

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This paper cites Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

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This paper cites FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization FastComposer: Tuning-Free Multi-Subject Image Generation with Localized Attention

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DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Break-for-Make: Modular Low-Rank Adaptations for Composable Content-Style Customization

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This paper cites IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

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This paper cites Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Infusion: Preventing Customized Text-to-Image Diffusion from Overfitting

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This paper cites Adding conditional control to text-to-image diffusion models.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Adding conditional control to text-to-image diffusion models

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This paper cites Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function.

DECOR:Decomposition and Projection of Text Embeddings for Text-to-Image Customization Magnet: We Never Know How Text-to-Image Diffusion Models Work, Until We Learn How Vision-Language Models Function

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