Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling | Paper Citation Record

Observation 82e22da6-7af7-4216-b8cb-68f35c4886d9 · outbound

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Unresolved cited work

Reference 2

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Masactrl: Tuning-free mu- tual self-attention control for consistent image synthesis and editing

Reference 3

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Unresolved cited work

Reference 4

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This paper cites Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Attend-and-excite: Attention-based se- mantic guidance for text-to-image diffusion models

Reference 5

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This paper cites How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites

Reference 6

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This paper cites Intern vl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Intern vl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 7

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This paper cites Tam- ing Transformers for High-Resolution Image Synthesis.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Tam- ing Transformers for High-Resolution Image Synthesis

Reference 8

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This paper cites Scaling rec- tified flow transformers for high-resolution image synthesis.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Scaling rec- tified flow transformers for high-resolution image synthesis

Reference 9

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This paper cites Focus on your instruction: Fine-grained and multi-instruction image editing by atten- tion modulation.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Focus on your instruction: Fine-grained and multi-instruction image editing by atten- tion modulation

Reference 10

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Observation 5f1fdf2c-5dc9-49a2-81ea-6a41ba5f6d95 · outbound

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Prompt-to-prompt image editing with cross-attention control

Reference 11

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This paper cites Classifier-Free Diffusion Guidance.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Classifier-Free Diffusion Guidance

Reference 12

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling An edit friendly ddpm noise space: Inversion and manipulations

Reference 13

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Pnp inversion: Boosting diffusion-based editing with 3 lines of code

Reference 14

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This paper cites What's in the Image? A Deep-Dive into the Vision of Vision Language Models.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling What's in the Image? A Deep-Dive into the Vision of Vision Language Models

Reference 15

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This paper cites Diffusion models for open-vocabulary segmenta- tion.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Diffusion models for open-vocabulary segmenta- tion

Reference 16

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Pick-a-pic: An open dataset of user preferences for text-to-image generation

Reference 17

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This paper cites Open-vocabulary object segmenta- tion with diffusion models.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Open-vocabulary object segmenta- tion with diffusion models

Reference 18

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Unresolved cited work

Reference 19

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Observation 3701e39a-af9f-43a6-9586-38f2c5d8f78c · outbound

This paper cites ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling ACE++: Instruction-Based Image Creation and Editing via Context-Aware Content Filling

Reference 20

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Null-text inversion for editing real images using guided diffusion models

Reference 21

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling T2i-adapter: learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 22

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Unresolved cited work

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This paper cites DiffuseV AE: Efficient, controllable and high- fidelity generation from low-dimensional latents.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling DiffuseV AE: Efficient, controllable and high- fidelity generation from low-dimensional latents

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This paper cites Peebles and Saining Xie.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Peebles and Saining Xie

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling SDXL: Improving latent diffusion models for high-resolution image synthesis

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This paper cites Unicontrol: A unified diffusion model for controllable visual generation in the wild.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Unicontrol: A unified diffusion model for controllable visual generation in the wild

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Learning transferable visual models from natural language supervision

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Unresolved cited work

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This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling High-Resolution Image Synthesis with Latent Diffusion Models

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Semantic Image Inversion and Editing using Rectified Stochastic Differential Equations

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Dreambooth: Fine tuning text-to-image diffusion models for subject-driven generation

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Emu edit: Precise image editing via recognition and gener- ation tasks

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Generative Multimodal Mod- els are In-Context Learners

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This paper cites Chameleon: Mixed-Modal Early-Fusion Foundation Models.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Chameleon: Mixed-Modal Early-Fusion Foundation Models

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Qwen2.5-vl, 2025

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling MIGE: Mutually Enhanced Multimodal Instruction-Based Image Generation and Editing

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Plug-and-play diffusion features for text-driven image-to-image translation

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Neural discrete representation learning

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

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This paper cites Emu3: Next-Token Prediction is All You Need.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Emu3: Next-Token Prediction is All You Need

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Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Hairclipv2: Unifying hair editing via proxy feature blending

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This paper cites Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Enhancing MMDiT-Based Text-to-Image Models for Similar Subject Generation

Reference 43

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This paper cites FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling FreeFlux: Understanding and Exploiting Layer-Specific Roles in RoPE-Based MMDiT for Versatile Image Editing

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This paper cites Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models

Reference 45

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Observation 6ea76899-4891-4a1f-b045-4b18f4c644e7 · outbound

This paper cites OmniGen: Unified Image Generation.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling OmniGen: Unified Image Generation

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This paper cites Show-o: One single transformer to unify multimodal understanding and generation.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Show-o: One single transformer to unify multimodal understanding and generation

Reference 47

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Observation 41f2d3de-e58c-4b5b-93c1-a8b8110a45f7 · outbound

This paper cites Characteristic analysis of otsu threshold and its ap- plications.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Characteristic analysis of otsu threshold and its ap- plications

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Observation ba3da3bd-99a7-4c67-87fa-f21e8ebb26f3 · outbound

This paper cites Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Enhancing Instruction-Following Capability of Visual-Language Models by Reducing Image Redundancy

Reference 49

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This paper cites RoCC: Robust Covert Communication Based on Cross-Modal Information Retrieval.Journal of Im- age and Graphics, 29(2):369–381, 2024.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling RoCC: Robust Covert Communication Based on Cross-Modal Information Retrieval.Journal of Im- age and Graphics, 29(2):369–381, 2024

Reference 50

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This paper cites Peeling back the layers: Interpreting the story- telling of vit.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Peeling back the layers: Interpreting the story- telling of vit

Reference 51

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This paper cites Magicbrush: A manually annotated dataset for instruction- guided image editing.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Magicbrush: A manually annotated dataset for instruction- guided image editing

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:19:24.682925Z

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

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Adding conditional control to text-to-image diffusion models

Reference 53

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This paper cites Ultraedit: Instruction-based fine-grained image editing at scale.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Ultraedit: Instruction-based fine-grained image editing at scale

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:19:24.641989Z

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This paper cites Semantic under- standing of scenes through the ade20k dataset.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Semantic under- standing of scenes through the ade20k dataset

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:19:24.624514Z

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This paper cites graffiti.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling graffiti

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:19:24.607230Z

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This paper cites an unresolved cited work.

Scale Your Instructions: Enhance the Instruction-Following Fidelity of Unified Image Generation Model by Self-Adaptive Attention Scaling Unresolved cited work

Reference 2022

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