Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention | Paper Citation Record

Observation 59c3d610-ef00-4b9f-99ef-409324ada5e8 · outbound

This paper cites The way we think: Conceptual blending and the mind's hidden complexities.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention The way we think: Conceptual blending and the mind's hidden complexities

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:27.001895Z

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Observation ae08779f-3bc2-4e8a-b65a-64e9c796d3a3 · outbound

This paper cites Conceptual integration networks.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Conceptual integration networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:26.853492Z

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Observation 1f6bb03f-3372-494e-aa5f-3805f78bc359 · outbound

This paper cites Semantic leaps: Frame-shifting and conceptual blending in meaning construction.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Semantic leaps: Frame-shifting and conceptual blending in meaning construction

Reference 3

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Observation 306096fb-b8e4-487b-a719-93da69f6380e · outbound

This paper cites Cognitive mechanisms underlying the creative process.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Cognitive mechanisms underlying the creative process

Reference 4

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Observation 62f0fcbb-a45e-4eab-9aa1-eeedeeaa39cb · outbound

This paper cites Observations on concept generation and sketching in engineering design.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Observations on concept generation and sketching in engineering design

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:26.349943Z

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Observation c77983a0-8744-4177-9893-992c66bf7873 · outbound

This paper cites Balancing homogeneity and heterogeneity in design exploration by synthesizing novel design alternatives based on genetic algorithm and strategic styling decision.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Balancing homogeneity and heterogeneity in design exploration by synthesizing novel design alternatives based on genetic algorithm and strategic styling decision

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:26.193716Z

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Observation c1cc2287-6377-4af0-8cab-c2fd01b40453 · outbound

This paper cites Designaid: Using generative ai and semantic diversity for design inspiration.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Designaid: Using generative ai and semantic diversity for design inspiration

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:26.033601Z

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Observation fe9d0c6d-0ca1-4197-a9de-116d27945d71 · outbound

This paper cites Product design: techniques in reverse engineering and new product development.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Product design: techniques in reverse engineering and new product development

Reference 8

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Observation 2269e4a7-f056-482d-937a-27aaabcbe22c · outbound

This paper cites Scamper on: Games for imagination development.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Scamper on: Games for imagination development

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:25.718107Z

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Observation b4c36270-8209-4836-8606-2ff2c6bc209c · outbound

This paper cites Product design and development.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Product design and development

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:25.501183Z

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Observation 7291aa36-3f6c-4215-b6f0-f6d0ec00d134 · outbound

This paper cites Design fixation.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Design fixation

Reference 11

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Observation 0139cfa4-d2f9-44ac-b399-685a6ae86cd9 · outbound

This paper cites Mechanization in problem solving: The effect of einstellung.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Mechanization in problem solving: The effect of einstellung

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:25.101598Z

Source-reported events for the cited work

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Observation df5bf5f8-528d-4ac8-9d88-7d9dd10dc4c1 · outbound

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

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention High-resolution image synthesis with latent diffusion models

Reference 13

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Observation a6d02e5d-f20c-4f9b-bf19-44e5a3066872 · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Photorealistic text-to-image diffusion models with deep language understanding

Reference 14

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This paper cites Attention is all you need.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Attention is all you need

Reference 15

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Observation fc0857ab-105c-4cfb-9c39-25db023ede00 · outbound

This paper cites Flux.1 [dev].

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Flux.1 [dev]

Reference 16

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Observation 768d662a-580b-493a-a7ba-67c5bd0eaa0b · outbound

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

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 17

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Observation 15296e39-8baf-4f1d-8b0c-8beecc82963b · outbound

This paper cites Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Blip-diffusion: Pre-trained subject representation for controllable text-to-image generation and editing

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:24.758155Z

Source-reported events for the cited work

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Observation 078309ff-d0f1-4a75-b6f6-ece9e1b3542a · outbound

This paper cites Real-world image variation by aligning diffusion inversion chain.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Real-world image variation by aligning diffusion inversion chain

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:24.614665Z

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Observation 47aa5a29-b259-44b3-ac78-75d359d291bd · outbound

This paper cites Style aligned image generation via shared attention.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Style aligned image generation via shared attention

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:24.414902Z

Source-reported events for the cited work

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Observation 94b5e726-2eaa-4714-abaa-c5571e8cbdde · outbound

This paper cites Less-to-More Generalization: Unlocking More Controllability by In-Context Generation.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Less-to-More Generalization: Unlocking More Controllability by In-Context Generation

Reference 21

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Observation 525372ca-2fea-4af5-a2a1-9b705c9c668b · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:16.870818Z

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Observation 30f9e981-188e-48fc-939d-e202881df019 · outbound

This paper cites Denoising diffusion probabilistic models.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Denoising diffusion probabilistic models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:16.966832Z

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Observation 42c8936d-1826-410b-8a93-d6dfbb2c3a7c · outbound

This paper cites Diffusion models beat gans on image synthesis.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Diffusion models beat gans on image synthesis

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:17.044038Z

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Observation ee19c3ef-96d1-4f67-ac08-d2c5527d7873 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Score-based generative modeling through stochastic differential equations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:17.121634Z

Source-reported events for the cited work

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Observation 0e016243-3eac-4d3b-b5f5-c0eae9a9d871 · outbound

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

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Adding conditional control to text-to-image diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:24.196077Z

Source-reported events for the cited work

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Observation a5b52aef-bdfa-4852-9811-b0ef8714163e · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:23.978886Z

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Observation b79a5a9f-d4f1-40a8-8038-fc8a22900f5c · outbound

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

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:17.441111Z

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Observation 43bc1ae6-bddc-49c6-b620-7c84962e6da5 · outbound

This paper cites Plug-and-play diffusion features for text-driven image-to-image translation.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Plug-and-play diffusion features for text-driven image-to-image translation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:23.715045Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 05d2b43a-9773-488d-9e0d-003cfc379ec4 · outbound

This paper cites Towards understanding cross and self-attention in stable diffusion for text-guided image editing.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Towards understanding cross and self-attention in stable diffusion for text-guided image editing

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:23.558047Z

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Observation b3bb5017-241e-4fac-9510-9422b43350c4 · outbound

This paper cites Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Elite: Encoding visual concepts into textual embeddings for customized text-to-image generation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:23.381166Z

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Observation a0d79738-dd63-406e-b56c-7db0ace9bf0b · outbound

This paper cites Denoising Diffusion Implicit Models.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Denoising Diffusion Implicit Models

Reference 32

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Source-reported events for the cited work

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Observation d2e2daab-b695-417b-a50c-ba0aa922d014 · outbound

This paper cites Null-text inversion for editing real images using guided diffusion models.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Null-text inversion for editing real images using guided diffusion models

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:23.217646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 257625db-6c95-4a88-b11f-fefa2e331032 · outbound

This paper cites Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Masactrl: Tuning-free mutual self-attention control for consistent image synthesis and editing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:23.021777Z

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Observation f5e6026f-84ee-4a23-8fa1-830d06cea77c · outbound

This paper cites Cross-image attention for zero-shot appearance transfer.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Cross-image attention for zero-shot appearance transfer

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:22.839836Z

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Observation 5f8b8eaf-5f92-4a83-94c3-7046cf275ccf · outbound

This paper cites StyleDrop: Text-to-Image Generation in Any Style.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention StyleDrop: Text-to-Image Generation in Any Style

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:18.091089Z

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Observation 360420ab-7ac3-4f0c-998c-2c3b1d695a11 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Lora: Low-rank adaptation of large language models

Reference 37

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Observation 1ccdabaa-301d-4e7a-8b69-f33a6851ff62 · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention In-Context LoRA for Diffusion Transformers

Reference 38

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Observation 4c6d2f53-ea4b-4be2-876a-7cd049281c5e · outbound

This paper cites Creativity and machine learning: A survey.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Creativity and machine learning: A survey

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:22.648653Z

Source-reported events for the cited work

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Observation 5e0917bc-7cfc-462c-a9bd-4a0f1c177caa · outbound

This paper cites Too late to be creative? ai-empowered tools in creative processes.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Too late to be creative? ai-empowered tools in creative processes

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:22.443921Z

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Observation aacf7c68-3bf9-49f0-adce-4f367f8c43de · outbound

This paper cites Creativeconnect: Supporting reference recombination for graphic design ideation with generative ai.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Creativeconnect: Supporting reference recombination for graphic design ideation with generative ai

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:21.829119Z

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Observation 9e641815-285f-444c-bb71-15efdaf16791 · outbound

This paper cites Creative blends of visual concepts.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Creative blends of visual concepts

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:21.616110Z

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Observation 941f97e5-0044-4cd8-9dc2-edc41e439050 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention U-net: Convolutional networks for biomedical image segmentation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:19.006023Z

Source-reported events for the cited work

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Observation b089acdf-968d-4dac-8d60-9817d33d2330 · outbound

This paper cites Scalable diffusion models with transformers.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Scalable diffusion models with transformers

Reference 44

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Observation 74449f2a-40b6-4cc6-b70e-7ff5f99284ca · outbound

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Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Self-attention generative adversarial networks

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:21.425182Z

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Observation 33824bdd-2a81-433e-95e1-d0bf8cdd35ce · outbound

This paper cites laion2b-en-aesthetic-square.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention laion2b-en-aesthetic-square

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:21.172956Z

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Observation 7f3b8d39-1695-4f41-8be3-5733b4ee87dd · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:19.545125Z

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Observation f5cd4a5a-f720-4b1c-a9b8-5999dcf6e7d4 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Learning transferable visual models from natural language supervision

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:19.650714Z

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Observation 8036b820-2bf9-4f05-b58a-0962cfbac3b7 · outbound

This paper cites Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:19.802159Z

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Observation aad75042-6e56-4212-8d56-b88b76f6ec1e · outbound

This paper cites GPT-4 Technical Report.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention GPT-4 Technical Report

Reference 50

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Observation 91b6752e-5144-4eef-9f0f-26f3f4ae0333 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:20.112656Z

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Observation 3988992e-6630-47d0-922b-21bda46cdede · outbound

This paper cites Instantx flux.1-dev ip-adapter page.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Instantx flux.1-dev ip-adapter page

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:45:20.917951Z

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Observation 9e852443-6b78-4df8-a0c9-a336d25385c5 · outbound

This paper cites Decoupled Weight Decay Regularization.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Decoupled Weight Decay Regularization

Reference 53

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Observation 41b1acd4-8551-4706-b1ca-95e2fdba3c89 · outbound

This paper cites Rare-to-frequent: Unlocking compositional generation power of diffusion models on rare concepts with llm guidance.

Imagine for Me: Creative Conceptual Blending of Real Images and Text via Blended Attention Rare-to-frequent: Unlocking compositional generation power of diffusion models on rare concepts with llm guidance

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:20.505897Z

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