FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers | Paper Citation Record

Observation e0fc36e1-5535-47b7-8ad3-b304cc9f8402 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Cross-image attention for zero- shot appearance transfer

Reference 1

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Observation 749934f9-c3d1-41c8-a4e7-ce0a4f278f0f · outbound

This paper cites Build- ing normalizing flows with stochastic interpolants.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Build- ing normalizing flows with stochastic interpolants

Reference 2

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Observation 4fc5002d-a529-47f9-bf71-a046ba7b2921 · outbound

This paper cites Blended diffusion for text-driven editing of natural images.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Blended diffusion for text-driven editing of natural images

Reference 3

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Observation 78862716-662d-49f2-bdc5-32fadb1fb38d · outbound

This paper cites Break-a-scene: Extracting multi- ple concepts from a single image.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Break-a-scene: Extracting multi- ple concepts from a single image

Reference 4

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Observation c6603e2a-ab91-4e20-a3f0-3e2ae550e577 · outbound

This paper cites Diffuhaul: A training-free method for object dragging in images.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Diffuhaul: A training-free method for object dragging in images

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.252889Z

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Observation 0698c2b5-0e67-412a-8383-5b0387814c93 · outbound

This paper cites Stable Flow: Vital Layers for Training-Free Image Editing.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Stable Flow: Vital Layers for Training-Free Image Editing

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.630021Z

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Observation 54bc3a67-0437-45f9-b8e2-4f611f159b68 · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 7

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Observation 59fa54c5-312a-456d-96c5-35a5507c1687 · outbound

This paper cites Announcing black forest labs.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Announcing black forest labs

Reference 8

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Observation a2fdb70c-f7c7-479d-84aa-bc2e195ba66f · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.221584Z

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Observation d3eac2d3-fda5-4887-8116-65c7341693f4 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Emerg- ing properties in self-supervised vision transformers

Reference 10

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Observation 8d5773ea-59f0-474d-91c5-ac3660498073 · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.657607Z

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Observation 95ca8f4f-a83f-4752-9cc6-16ef3e35bdae · outbound

This paper cites Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Pixart- σ: Weak-to-strong training of diffusion transformer for 4k text-to-image generation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.197224Z

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Observation b7187cf9-bd19-4b97-8b50-dc7978e1ff9a · outbound

This paper cites Anydoor: Zero-shot object-level im- age customization.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Anydoor: Zero-shot object-level im- age customization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.667640Z

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Observation dc57bc52-c1b4-4430-948d-1e8a66024ea4 · outbound

This paper cites Turboedit: Text-based image editing using few-step diffusion models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Turboedit: Text-based image editing using few-step diffusion models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.170981Z

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Observation dc9c94e6-ff2d-4e10-90b2-165fa99abee8 · outbound

This paper cites Diffusion models beat gans on image synthesis.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Diffusion models beat gans on image synthesis

Reference 15

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Observation b13ce25c-bd6e-49d2-beea-81d0efbaa469 · outbound

This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.144294Z

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Observation c7cc1989-b1c8-43d5-b54a-79abfa91f832 · outbound

This paper cites An image is worth one word: Personalizing text-to-image gener- ation using textual inversion.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers An image is worth one word: Personalizing text-to-image gener- ation using textual inversion

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.128869Z

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Observation 1118441e-cc9c-4df2-aee9-c2f9edd44e86 · outbound

This paper cites Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Encoder-based domain tuning for fast personalization of text-to-image models.ACM Transactions on Graphics (TOG), 42(4):1–13, 2023

Reference 18

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Observation f36ad844-76c0-432f-88db-c24ea48c0fe3 · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 19

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Observation 233a56ee-5228-4988-a44d-d57bd7371610 · outbound

This paper cites TokenFlow: Consistent Diffusion Features for Consistent Video Editing.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers TokenFlow: Consistent Diffusion Features for Consistent Video Editing

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.701056Z

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Observation a0d02556-2d73-42d9-b737-de5107740eee · outbound

This paper cites Prompt-to-prompt image editing with cross-attention control.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Prompt-to-prompt image editing with cross-attention control

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.103840Z

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Observation 646da62d-6509-4637-acf7-a8e15a080cc8 · outbound

This paper cites Style aligned image generation via shared atten- tion.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Style aligned image generation via shared atten- tion

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.710561Z

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Observation bc2a0ad6-5978-43b7-8fb0-9b91f483f40e · outbound

This paper cites Denoising dif- fusion probabilistic models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Denoising dif- fusion probabilistic models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.715237Z

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Observation 1470610e-5b01-4ef1-a6ad-6a4d6c926002 · outbound

This paper cites Cascaded diffu- sion models for high fidelity image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Cascaded diffu- sion models for high fidelity image generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.719605Z

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Observation e9ec9992-c9eb-415d-90ea-c87857e677a0 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Lora: Low- rank adaptation of large language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.059099Z

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Observation 4b07a769-450b-485d-bf04-b9958e18f46c · outbound

This paper cites In-Context LoRA for Diffusion Transformers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers In-Context LoRA for Diffusion Transformers

Reference 26

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Observation 7a819dfa-e537-4693-8090-0c22ec6bae01 · outbound

This paper cites An edit friendly ddpm noise space: Inversion and manipulations.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers An edit friendly ddpm noise space: Inversion and manipulations

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.043416Z

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Observation f9e9447c-8737-4076-80a7-ec23b47b9e9f · outbound

This paper cites Open- clip, 2021.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Open- clip, 2021

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.027034Z

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Observation 4617ca4a-27b5-4187-ae78-9c635720c0c4 · outbound

This paper cites Auto-Encoding Variational Bayes.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Auto-Encoding Variational Bayes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.742163Z

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Observation 46a70162-e293-460e-88a7-5e559cb056b0 · outbound

This paper cites Segment any- thing.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Segment any- thing

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.747439Z

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Observation 86b9a22c-7694-4afe-b81d-cb5242042915 · outbound

This paper cites CustAny: Customizing Anything from A Single Example.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers CustAny: Customizing Anything from A Single Example

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:42:24.405917Z

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Observation ab6b7625-8475-4d36-9484-204d82fac132 · outbound

This paper cites FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.756486Z

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Observation 106e1610-8cad-4168-964e-bea0d063ae35 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Multi-concept customization of text-to-image diffusion

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:25.001685Z

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Observation 16cb0120-21de-469b-ae50-76f001e34c22 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Blip-diffusion: Pre- trained subject representation for controllable text-to-image generation and editing

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.986082Z

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Observation 86465e29-f5a3-4086-b37e-95a6c22fb711 · outbound

This paper cites Flow matching for genera- tive modeling.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Flow matching for genera- tive modeling

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.966892Z

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Observation 825bc19f-a0a4-404c-a5cd-c744c7e870bf · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.950729Z

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Observation 29d165c5-8bfe-4bd9-a98f-8bef86e48dd3 · outbound

This paper cites Qwen2vl-flux: Unifying image and text guidance for controllable image generation, 2024.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Qwen2vl-flux: Unifying image and text guidance for controllable image generation, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.934913Z

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Observation 3774e977-807c-44de-a12f-b55df02e40a3 · outbound

This paper cites Realcus- tom++: Representing images as real-word for real-time cus- tomization.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Realcus- tom++: Representing images as real-word for real-time cus- tomization

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.784894Z

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Observation fcf1bb55-d39e-4b1f-a997-c45728ecf630 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Null-text inversion for editing real im- ages using guided diffusion models

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.920137Z

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Observation 8e315a59-7fe0-4ed3-ab7f-2fe6123ff3fa · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.793662Z

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Observation 07fb15f3-07d5-4f3b-9dda-80d74de4c5a9 · outbound

This paper cites Kosmos-g: Generating images in context with multimodal large language models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Kosmos-g: Generating images in context with multimodal large language models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.905117Z

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Observation 3c31e1eb-ea3a-4111-9035-2c7dd7cfa1e7 · outbound

This paper cites $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers $\lambda$-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.802400Z

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Observation 699f3f3e-f90a-4bee-b3a1-4c5c56696c2a · outbound

This paper cites Scalable diffusion models with transformers.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Scalable diffusion models with transformers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.806982Z

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Observation 5d0529ee-bc0f-464f-87d0-895ab8f3d51f · outbound

This paper cites DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.811397Z

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Observation de445136-5064-41be-8c65-e10b17e36749 · outbound

This paper cites W ¨urstchen: An ef- ficient architecture for large-scale text-to-image diffusion models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers W ¨urstchen: An ef- ficient architecture for large-scale text-to-image diffusion models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.881009Z

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Observation 77e1a410-add2-4a14-8e08-01a4475b0892 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.866089Z

Source-reported events for the cited work

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Observation 80ec5d76-dcd1-43a9-9e67-8e6d3d7716e7 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Learning transferable visual models from natural language supervi- sion

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.826706Z

Source-reported events for the cited work

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Observation 471ea338-1de3-44ae-976e-e69c96f00763 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers High-resolution image synthesis with latent diffusion models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.831157Z

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Observation dad42920-6d5c-4993-9edb-7775ebeb62f5 · outbound

This paper cites Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.835535Z

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Observation cac30576-8ee9-42da-a1c8-5f207170898a · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.828990Z

Source-reported events for the cited work

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Observation 72e4448e-e40f-4b83-8261-d3576db8ec3a · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Photorealistic text-to-image diffusion models with deep language understanding

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.845436Z

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Observation 9c248c89-8c49-47e0-a1c7-a01b804fac1f · outbound

This paper cites Denois- ing diffusion implicit models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Denois- ing diffusion implicit models

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.801454Z

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Observation bb40ed93-588f-4de6-b1de-94b7460c8217 · outbound

This paper cites Moma: Multimodal llm adapter for fast personalized image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Moma: Multimodal llm adapter for fast personalized image generation

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.785536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 28c56211-dcc2-48e0-93eb-60f53ed255e1 · outbound

This paper cites Generative multimodal mod- els are in-context learners.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Generative multimodal mod- els are in-context learners

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.769535Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e63066f1-8d77-41c4-a125-054cb7a63498 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.864893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15a87d5e-36a5-4526-9512-0021ebcc9716 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Key-locked rank one editing for text-to-image personaliza- tion

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.753019Z

Source-reported events for the cited work

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Observation bfc56a97-489d-4d25-be54-46ddec5b3c93 · outbound

This paper cites Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.874218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c74a4a35-77c7-487f-a7db-f0239f1b4c61 · outbound

This paper cites Training-free consis- tent text-to-image generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Training-free consis- tent text-to-image generation

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.737120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa3f0237-836c-49c5-9f68-96d0f5029764 · outbound

This paper cites Attention is all you need.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Attention is all you need

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.884370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eede7dc3-7352-4d6d-935d-48224c569f31 · outbound

This paper cites InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.888890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65ce5542-fe11-4ae3-863b-43ae8d81d01d · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.893418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961c9dc6-24ff-43a8-8f69-930a481a52df · outbound

This paper cites MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.898097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48fff781-337d-430e-a443-b4ed2e693713 · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Elite: Encoding visual con- cepts into textual embeddings for customized text-to-image generation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.711588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cac199a0-1bd3-478e-b343-4e7e0ff73c11 · outbound

This paper cites Qwen2.5 Technical Report.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Qwen2.5 Technical Report

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.907202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9646bae-5e91-49ad-8227-9886ec40772e · outbound

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

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:23.912289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 033a0d47-00a5-4de5-9426-7039a24b4a62 · outbound

This paper cites Attention calibration for disentangled text-to-image person- alization.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Attention calibration for disentangled text-to-image person- alization

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.696420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 635f2860-0812-4c1c-9cf5-4e07c077e922 · outbound

This paper cites Bilateral refer- ence for high-resolution dichotomous image segmentation.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Bilateral refer- ence for high-resolution dichotomous image segmentation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.681645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8723209-be79-491e-bf99-fcbac4af85bb · outbound

This paper cites Lumina-next: Making lumina-t2x stronger and faster with next-dit.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Lumina-next: Making lumina-t2x stronger and faster with next-dit

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.666045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e4454de8-70f0-411e-8442-4dd4e33e3efa · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:42:24.633429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9e8d4547-bde2-4873-ab08-aac170698930 · outbound

This paper cites Designs for captions.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Designs for captions

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.616942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 12f16a05-45d0-4118-9e18-8072c558bc9e · outbound

This paper cites For IPA (Flux.1) implemen- tation, we use the third-party code from XLabs-AI.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers For IPA (Flux.1) implemen- tation, we use the third-party code from XLabs-AI

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.599823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b72b42f-63d5-4932-aa11-abaa73ec66d9 · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:42:24.583708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c848ccfa-6e74-4f22-a663-48a630063513 · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:42:24.567819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5cf9cb28-27d1-4dd6-b2f0-8d709534e866 · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:42:24.551902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff036ab9-48b5-473c-a891-67080f49b28e · outbound

This paper cites Prompt for Detailed Subject Caption.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Prompt for Detailed Subject Caption

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:42:24.536381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0562e656-5da2-459c-9623-f1629e8e62e0 · outbound

This paper cites an unresolved cited work.

FreeCus: Free Lunch Subject-driven Customization in Diffusion Transformers Unresolved cited work

Reference 2024

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:42:24.650059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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