UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation | Paper Citation Record

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This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Observation 2ad595ba-740e-4cf2-b1af-87fe3d42da67 · outbound

This paper cites GPT-4 Technical Report.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation GPT-4 Technical Report

Reference 2

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This paper cites Improving image generation with better captions.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Improving image generation with better captions

Reference 3

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Observation 7bb27a7b-2695-45a8-b816-418ebc5278aa · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Emerg- ing properties in self-supervised vision transformers

Reference 4

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Observation 605ea588-0d83-4a6b-a3c4-f833d700ba21 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 5

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This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 6

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Observation b24ada5c-348a-4a05-9ec7-ecb667e1836f · outbound

This paper cites PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation PIXART-{\delta}: Fast and Controllable Image Generation with Latent Consistency Models

Reference 7

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Observation 6e57361f-eb8d-4a8b-b399-386d5a76ed80 · outbound

This paper cites Re-Imagen: Retrieval-Augmented Text-to-Image Generator.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Re-Imagen: Retrieval-Augmented Text-to-Image Generator

Reference 8

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Observation d0c2dc90-2fe8-4de2-b23c-74004100e255 · outbound

This paper cites Subject-driven text-to-image generation via apprenticeship learning.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Subject-driven text-to-image generation via apprenticeship learning

Reference 9

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Observation 41a3ece6-2795-488b-881f-818783b79a08 · outbound

This paper cites Reproducible scal- ing laws for contrastive language-image learning.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Reproducible scal- ing laws for contrastive language-image learning

Reference 10

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Observation 17c3dece-19fe-4513-8153-3938700e4014 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Observation f04d813d-348a-4e3d-a3a5-5aca65e0c3c9 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 12

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Observation ced849c3-214a-46e2-9065-4a347bc9c37d · outbound

This paper cites StyleShot: A Snapshot on Any Style.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation StyleShot: A Snapshot on Any Style

Reference 13

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Observation 920b1a21-df01-4b7d-8410-5c46461f86cb · outbound

This paper cites StyleBooth: Image Style Editing with Multimodal Instruction.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation StyleBooth: Image Style Editing with Multimodal Instruction

Reference 14

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Style aligned image generation via shared atten- tion

Reference 15

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Observation 29f7c5a1-20d1-4dd4-a081-6346ae5de169 · outbound

This paper cites Denoising diffu- sion probabilistic models.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Denoising diffu- sion probabilistic models

Reference 16

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Observation 7d2809ee-23d7-4755-8fd9-20b05fe9ab26 · outbound

This paper cites Instruct-Imagen: Image gener- ation with multi-modal instruction.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Instruct-Imagen: Image gener- ation with multi-modal instruction

Reference 17

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Observation dd44ca47-6c46-4b8d-a488-8dcb7b3c14ac · outbound

This paper cites Composer: Creative and Controllable Image Synthesis with Composable Conditions.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Composer: Creative and Controllable Image Synthesis with Composable Conditions

Reference 18

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Observation 65c43465-2e22-4a3f-ba9b-b95228dba471 · outbound

This paper cites Decoupled weight decay reg- ularization.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Decoupled weight decay reg- ularization

Reference 19

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Observation f921377a-6050-4b8b-b8f7-3df6b6e13560 · outbound

This paper cites Imagen 3, 2024.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Imagen 3, 2024

Reference 20

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Observation 01bc72e9-489b-459d-bf52-3a7f1be47c09 · outbound

This paper cites Segment any- thing.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Segment any- thing

Reference 21

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This paper cites The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale

Reference 22

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Observation a38dea94-a0a7-4213-89bb-d9e211d428e1 · outbound

This paper cites Flux: Inference repository.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Flux: Inference repository

Reference 23

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Observation b011fbcb-9eed-4c8e-a1e9-ef6f3f4316a4 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation BLIP-Diffusion: Pre-trained subject representation for controllable text-to- image generation and editing

Reference 24

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Observation 91ef172c-abf6-4648-bb3f-970799a39a9c · outbound

This paper cites BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation BLIP-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 25

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Observation 2179efc7-0191-4aa0-bcfe-5456b4b956a8 · outbound

This paper cites ControlNet++: Improving conditional controls with efficient consistency feedback.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation ControlNet++: Improving conditional controls with efficient consistency feedback

Reference 26

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Observation 81ee6939-2b37-405b-8bbf-5c5fee7035c4 · outbound

This paper cites GLIGEN: Open-set grounded text-to-image generation.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation GLIGEN: Open-set grounded text-to-image generation

Reference 27

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Observation f5a4f1d5-8e79-4e79-bb7a-dcb878fd2cb5 · outbound

This paper cites Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Hunyuan-DiT: A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

Reference 28

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Observation 1a4f5851-5d71-4b49-9184-deeaefb6e187 · outbound

This paper cites Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

Reference 29

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Observation b5194670-58b6-47bd-a288-f708c8bc12fc · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 30

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Observation 1d09fb7b-19b8-4cb3-a1b3-12000ba86d15 · outbound

This paper cites Subject- Diffusion: Open domain personalized text-to-image genera- tion without test-time fine-tuning.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Subject- Diffusion: Open domain personalized text-to-image genera- tion without test-time fine-tuning

Reference 31

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Observation 9c3b3786-fcb8-49ae-b1bb-328cf9e3bdd9 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Null-text inversion for editing real images using guided diffusion models

Reference 32

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Observation 592cbda7-a1b5-4235-983a-a07dfa261d99 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 33

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Observation f839cc3d-e3cd-413b-a1e0-f511a2f4cf8b · outbound

This paper cites Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Kosmos-G: Generating Images in Context with Multimodal Large Language Models

Reference 34

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Observation 22878471-a04e-458d-bd6a-7659e297bb15 · outbound

This paper cites Scalable diffusion models with transformers.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Scalable diffusion models with transformers

Reference 35

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This paper cites Scalable diffusion models with transformers.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Scalable diffusion models with transformers

Reference 36

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Observation 4974b84f-d971-4e11-8fdd-fb1a36ca1d57 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 37

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Observation 20ff3ed7-4924-4726-a4d6-2ca2ffd371c2 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 38

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Observation 87ece028-6813-4603-842b-cff7b08dd7a3 · outbound

This paper cites UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

Reference 39

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Observation 3c184dcb-b462-4e09-9fd8-0eec19007e1c · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Learn- ing transferable visual models from natural language super- vision

Reference 40

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Observation 85ab7b1e-1e49-4b71-9d51-ed40f682f499 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 41

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Observation 75eeefac-7320-4bf8-943a-1b5823b13038 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation High-resolution image syn- thesis with latent diffusion models

Reference 42

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Observation 81c0a1d8-2854-4dea-b2f9-79590ba6a2b8 · outbound

This paper cites U- Net: Convolutional networks for biomedical image segmen- tation.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation U- Net: Convolutional networks for biomedical image segmen- tation

Reference 43

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Observation 11405e35-cf4f-4cf1-b972-96df1a4a1492 · outbound

This paper cites IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation IPAdapter-Instruct: Resolving Ambiguity in Image-based Conditioning using Instruct Prompts

Reference 44

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Observation bd976c3b-ba5b-4b00-b871-11b3f3a8a728 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

Reference 45

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Observation 8aa3ae83-9fc0-465f-a7e1-e8c718c21c69 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Photorealistic text-to-image diffusion models with deep language understanding

Reference 46

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Observation 1c0b1737-2295-4ffd-a386-8b2716e2b0dd · outbound

This paper cites Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature

Reference 47

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Observation 35e93857-7345-451e-8fca-e1551904eefe · outbound

This paper cites LAION-5B: An open large-scale dataset for train- ing next generation image-text models.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation LAION-5B: An open large-scale dataset for train- ing next generation image-text models

Reference 48

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Observation 542e4133-af88-4d06-87c9-52a65acee1ea · outbound

This paper cites MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation

Reference 49

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Observation 8df8d14a-b7b4-4647-8bd6-f1563a897425 · outbound

This paper cites RoFormer: Enhanced transformer with rotary position embedding.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation RoFormer: Enhanced transformer with rotary position embedding

Reference 50

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This paper cites Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Kolors: Effective training of diffusion model for photorealistic text-to-image synthesis

Reference 51

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This paper cites LLaMA: Open and Efficient Foundation Language Models.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation LLaMA: Open and Efficient Foundation Language Models

Reference 52

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Observation c6ddde55-51a5-4af2-858e-2b57f38060da · outbound

This paper cites Attention is all you need.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Attention is all you need

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:24:21.078041Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f2dbda8c-d74a-4fd6-8230-c3c7db1c1348 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T04:24:20.206437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd38cfa4-4e22-44ad-a6bd-b58e2db90142 · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-11T04:24:20.211686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c72c3d1-1274-4250-817f-e914161b1b8c · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation MS-Diffusion: Multi-subject Zero-shot Image Personalization with Layout Guidance

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T04:24:20.217599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b139652a-001b-4ec4-850f-e8412abb7c06 · outbound

This paper cites OmniGen: Unified Image Generation.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation OmniGen: Unified Image Generation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-11T04:24:20.225269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b7efa67-3a6c-4d44-8c7b-877d970ba612 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T04:24:20.233219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8ce1117-e75d-4b8f-8b45-056782a7ec70 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-11T04:24:20.239368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a6c2c2-8cac-44f2-bb98-0e8da35cd61c · outbound

This paper cites Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-11T04:24:20.244927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 466a1fb9-19da-4813-8651-a9d9a2fd8929 · outbound

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

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Adding conditional control to text-to-image diffusion models

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:24:21.058865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dd19131d-6535-47cd-9823-d0e8f8dbec9d · outbound

This paper cites Uni- ControlNet: All-in-one control to text-to-image diffusion models.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Uni- ControlNet: All-in-one control to text-to-image diffusion models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:24:21.037247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 87460034-a6e4-40da-8a50-f66f264fc307 · outbound

This paper cites Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Layoutdiffusion: Controllable diffu- sion model for layout-to-image generation

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:24:21.018571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation bf499715-6635-4ffb-a377-7054d7957249 · outbound

This paper cites Scene parsing through ade20k dataset.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Scene parsing through ade20k dataset

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:24:21.001897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation cdb58578-4a9a-4fdd-842d-f5ceae6faf31 · outbound

This paper cites an unresolved cited work.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:24:20.983808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 24d6c235-a1dc-4bb7-8afb-5acbea5ce603 · outbound

This paper cites an unresolved cited work.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-11T04:24:20.967239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9eb2b9a5-16c0-46ec-bf6f-58a9f9d23e89 · outbound

This paper cites As a result, our UNIC-Adapter is limited in generating images with higher resolution, 1024 × 1024.

UNIC-Adapter: Unified Image-instruction Adapter with Multi-modal Transformer for Image Generation As a result, our UNIC-Adapter is limited in generating images with higher resolution, 1024 × 1024

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T04:24:20.949814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Reference resolution

Outbound references

Pith citing papers