Awesome Instruction Editing

A Survey of Instruction-Guided Image and Media Editing in LLM Era

A collection of academic articles, published methodology, and datasets on the subject of Instruction-Guided Image and Media Editing.

• Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era
  • Existing Surveys
  • Taxonomy
  • Approaches
  • Datasets
    • Type: General
    • Type: Image Captioning
    • Type: ClipArt
    • Type: VQA
    • Type: Semantic Segmentation
    • Type: Object Classification
    • Type: Depth Estimation
    • Type: Aesthetic-Based Editing
    • Type: Dialog-Based Editing
  • Evaluation Metrics

A sortable version is available here: https://awesome-instruction-editing.github.io/

🔖 News!!!

📌 We are actively tracking the latest research and welcome contributions to our repository and survey paper. If your studies are relevant, please feel free to create an issue or a pull request.

📰 2024-11-15: Our paper Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era has been revised into version 1 with new methods and dicussions.

🔍 Citation

If you find this work helpful in your research, welcome to cite the paper and give a ⭐.

Please read and cite our paper:

Nguyen, T.T., Ren, Z., Pham, T., Huynh, T.T., Nguyen, P.L., Yin, H., and Nguyen, Q.V.H., 2024. Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM Era. arXiv preprint arXiv:2411.09955.

@article{nguyen2024instruction,
  title={Instruction-Guided Editing Controls for Images and Multimedia: A Survey in LLM era},
  author={Thanh Tam Nguyen and Zhao Ren and Trinh Pham and Thanh Trung Huynh and Phi Le Nguyen and Hongzhi Yin and Quoc Viet Hung Nguyen},
  journal={arXiv preprint arXiv:2411.09955},
  year={2024}
}

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Existing Surveys

Paper Title	Venue	Year	Focus
A Survey of Multimodal Composite Editing and Retrieval	arXiv	2024	Media Retrieval
INFOBENCH: Evaluating Instruction Following Ability in Large Language Models	arXiv	2024	Text Editing
Multimodal Image Synthesis and Editing: The Generative AI Era	TPAMI	2023	X-to-Image Generation
LLM-driven Instruction Following: Progresses and Concerns	EMNLP	2023	Text Editing

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Pipeline

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Approaches

Title	Year	Venue	Category	Code
Guiding Instruction-based Image Editing via Multimodal Large Language Models	2024	ICLR	LLM-guided, Diffusion, Concise instruction loss, Supervised fine-tuning	Code
Hive: Harnessing human feedback for instructional visual editing	2024	CVPR	RLHF, Diffusion, Data augmentation	Code
InstructBrush: Learning Attention-based Instruction Optimization for Image Editing	2024	arXiv	Diffusion, Attention-based	Code
FlexEdit: Flexible and Controllable Diffusion-based Object-centric Image Editing	2024	arXiv	Controllable diffusion	Code
Pix2Pix-OnTheFly: Leveraging LLMs for Instruction-Guided Image Editing	2024	arXiv	on-the-fly, tuning-free, training-free	Code
EffiVED:Efficient Video Editing via Text-instruction Diffusion Models	2024	arXiv	Video editing, decoupled classifier-free	Code
Grounded-Instruct-Pix2Pix: Improving Instruction Based Image Editing with Automatic Target Grounding	2024	ICASSP	Diffusion, mask generation image editing	Code
TexFit: Text-Driven Fashion Image Editing with Diffusion Models	2024	AAAI	Fashion editing, region locaation, diffusion	Code
InstructGIE: Towards Generalizable Image Editing	2024	arXiv	Diffusion, context matching	Code
An Item is Worth a Prompt: Versatile Image Editing with Disentangled Control	2024	arXiv	Freestyle, Diffusion, Group attention	Code
Text-Driven Image Editing via Learnable Regions	2024	CVPR	Region generation, diffusion, mask-free	Code
ChartReformer: Natural Language-Driven Chart Image Editing	2024	ICDAR	chart editing	Code
GANTASTIC: GAN-based Transfer of Interpretable Directions for Disentangled Image Editing in Text-to-Image Diffusion Models	2024	arXiv	Hybrid, direction transfer	Code
StyleBooth: Image Style Editing with Multimodal Instruction	2024	arXiv	style editing, diffusion	Code
ZONE: Zero-Shot Instruction-Guided Local Editing	2024	CVPR	Local editing, localisation	Code
Inversion-Free Image Editing with Natural Language	2024	CVPR	Consistent models, unified attention	Code
Focus on Your Instruction: Fine-grained and Multi-instruction Image Editing by Attention Modulation	2024	CVPR	Diffusion, multi-instruction	Code
MoEController: Instruction-based Arbitrary Image Manipulation with Mixture-of-Expert Controllers	2024	arXiv	MoE, LLM-powered	Code
InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists	2024	ICLR	Diffusion, LLM-based, classifier-free	Code
Iterative Multi-Granular Image Editing Using Diffusion Models	2024	WACV	Diffusion, Iterative editing
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing	2024	NeurIPS	Diffusion, dynamic prompt	Code
Object-Aware Inversion and Reassembly for Image Editing	2024	ICLR	Diffusion, multi-object	Code
Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models	2024	arXiv	video editing, zero-shot	Code
Video-P2P: Video Editing with Cross-attention Control	2024	CVPR	Decoupled-guidance attention control, video editing	Code
NeRF-Insert: 3D Local Editing with Multimodal Control Signals	2024	arXiv	3D Editing
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models	2024	arXiv	3D Editing	Code
AudioScenic: Audio-Driven Video Scene Editing	2024	arXiv	audio-based instruction
LocInv: Localization-aware Inversion for Text-Guided Image Editing	2024	CVPR-AI4CC	Localization-aware inversion	Code
SonicDiffusion: Audio-Driven Image Generation and Editing with Pretrained Diffusion Models	2024	arXiv	Audio-driven	Code
Exploring Text-Guided Single Image Editing for Remote Sensing Images	2024	arXiv	Remote sensing images	Code
GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting	2024	arXiv	Fashion editing	Code
TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing	2024	arXiv	Chain of thought
Unified Editing of Panorama, 3D Scenes, and Videos Through Disentangled Self-Attention Injection	2024	arXiv	Diffusion, Self-attention Injection	Code
Instruct-MusicGen: Unlocking Text-to-Music Editing for Music Language Models via Instruction Tuning	2024	arXiv	Music editing, diffusion	Code
Text Guided Image Editing with Automatic Concept Locating and Forgetting	2024	arXiv	Diffusion, concept forgetting
InstructPix2Pix: Learning To Follow Image Editing Instruction	2023	CVPR	Core paper, Diffusion	Code
Visual Instruction Inversion: Image Editing via Image Prompting	2023	NeurIPS	Diffusion, visual instruction	Code
Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions	2023	ICCV	3D scene editing	Code
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion	2023	arXiv	3D editing, Dynamic scaling	Code
InstructME: An Instruction Guided Music Edit And Remix Framework with Latent Diffusion Models	2023	arXiv	Music editing, diffusion	Code
EditShield: Protecting Unauthorized Image Editing by Instruction-guided Diffusion Models	2023	arXiv	authorized editing, diffusion	Code
Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis	2023	arXiv	Video editing, cross-time attention	Code
AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models	2023	NeurIPS	Audio, Diffusion	Code
InstructAny2Pix: Flexible Visual Editing via Multimodal Instruction Following	2023	arXiv	Refinement prior, instrucitonal tuning	Code
Learning to Follow Object-Centric Image Editing Instructions Faithfully	2023	EMNLP	Diffusion, additional supervision	Code
StableVideo: Text-driven Consistency-aware Diffusion Video Editing	2023	ICCV	Diffusion, Video	Code
Vox-E: Text-Guided Voxel Editing of 3D Objects	2023	ICCV	Diffusion, 3D	Code
FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion	2023	arXiv	GAN, fashion images	Code
NULL-Text Inversion for Editing Real Images Using Guided Diffusion Models	2023	CVPR	null-tex embedding, Diffusion, CLIP	Code
Imagic: Text-based real image editing with diffusion models	2023	CVPR	Diffusion, embedding interpolation	Code
PhotoVerse: Tuning-Free Image Customization with Text-to-Image Diffusion Models	2023	arXiv	Diffusion, dual-branch concept	Code
InstructEdit: Improving Automatic Masks for Diffusion-based Image Editing With User Instructions	2023	arXiv	Diffusion, LLM-powered	Code
Instructdiffusion: A generalist modeling interface for vision tasks	2023	arXiv	Multi-task, multi-turn, Diffusion, LLM	Code
Emu Edit: Precise Image Editing via Recognition and Generation Tasks	2023	arXiv	Diffusion, multi-task, multi-turn	Code
Dialogpaint: A dialog-based image editing model	2023	arXiv	Dialog-based
Inst-Inpaint: Instructing to Remove Objects with Diffusion Models	2023	arXiv	Scene Editing	Code
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation	2023	NeurIPS	Example-based instruction
SmartEdit: Exploring Complex Instruction-based Image Editing with Multimodal Large Language Models	2023	arXiv	MLLM, Diffusion	Code
ChatFace: Chat-Guided Real Face Editing via Diffusion Latent Space Manipulation	2023	arXiv	LLM, Diffusion	Code
iEdit: Localised Text-guided Image Editing with Weak Supervision	2023	arXiv	Localized diffusion
Prompt-to-Prompt Image Editing with Cross Attention Control	2023	ICLR	Diffusion, Cross Attention	Code
Target-Free Text-Guided Image Manipulation	2023	AAAI	3D Editing	Code
Paint by example: Exemplar-based image editing with diffusion models	2023	CVPR	Diffusion, example-based	Code
De-net: Dynamic text-guided image editing adversarial networks	2023	AAAI	GAN, multi-task	Code
Imagen editor and editbench: Advancing and evaluating text-guided image inpainting	2023	CVPR	Diffusion, benchmark, CLIP	Code
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation	2023	CVPR	Diffusion, feature injection	Code
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing	2023	ICCV	Diffusion, mutual self-attention	Code
Unitune: Text-driven image editing by fine tuning a diffusion model on a single image	2023	TOG	Diffusion, fine-tuning	Code
Dreamix: Video Diffusion Models are General Video Editors	2023	arXiv	Cascaded diffusion, video	Code
LDEdit: Towards Generalized Text Guided Image Manipulation via Latent Diffusion Models	2022	BMVC	latent diffusion
StyleMC: Multi-Channel Based Fast Text-Guided Image Generation and Manipulation	2022	WACV	GAN, CLIP	Code
Blended Diffusion for Text-Driven Editing of Natural Images	2022	CVPR	Diffusion, CLIP, Blend	Code
VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance	2022	ECCV	GAN, CLIP	Code
StyleGAN-NADA: CLIP-guided domain adaptation of image generators	2022	TOG	GAN, CLIP	Code
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation	2022	CVPR	Diffusion, CLIP, Noise combination	Code
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models	2022	ICML	Diffusion, CLIP, Classifier-free guidance	Code
DiffEdit: Diffusion-based semantic image editing with mask guidance	2022	ICLR	Diffusion, DDIM, Mask generation	Code
Text2mesh: Text-driven neural stylization for meshes	2022	CVPR	3D Editing	Code
Manitrans: Entity-level text-guided image manipulation via token-wise semantic alignment and generation	2022	CVPR	GAN, multi-entities	Code
Text2live: Text-driven layered image and video editing	2022	ECCV	GAN, CLIP, Video editing	Code
SPEECHPAINTER: TEXT-CONDITIONED SPEECH INPAINTING	2022	Interspeech	Speech editing	Code
Talk-to-Edit: Fine-Grained Facial Editing via Dialog	2021	ICCV	GAN, dialog, semantic field	Code
Manigan: Text-guided image manipulation	2020	CVPR	GAN, affine combination	Code
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning	2020	EMNLP	GAN, Cross-task consistency	Code
Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions	2020	ECCV	GAN	Code
Sequential Attention GAN for Interactive Image Editing	2020	MM	GAN, Dialog, Sequential Attention
Lightweight generative adversarial networks for text-guided image manipulation	2020	NeurIPS	Light-weight GAN	Code
Tell, Draw, and Repeat: Generating and Modifying Images Based on Continual Linguistic Instruction	2019	ICCV	GAN	Code
Language-Based Image Editing With Recurrent Attentive Models	2018	CVPR	GAN, Recurrent Attention	Code
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language	2018	NeurIPS	GAN, simple	Code
FreeEdit: Mask-free Reference-based Image Editing with Multi-modal Instruction	2024	arXiv	Diffusion, instruction-driven editing	Code
Revealing Directions for Text-guided 3D Face Editing	2024	arXiv	Text-guided 3D face editing
Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing	2024	arXiv	Text-to-image, editing, diffusion
Hyper-parameter tuning for text guided image editing	2024	arXiv	Text Editing	Code
Add-it: Training-Free Object Insertion in Images With Pretrained Diffusion Models	2024	arXiv	Text-guided Object Insertion	Code

Other types of Editing

Title	Year	Venue	Category	Code
SGEdit: Bridging LLM with Text2Image Generative Model for Scene Graph-based Image Editing	2024	SIGGRAPH Asia	Diffusion, scene graph, image-editing	Code
Audio-Agent: Leveraging LLMs For Audio Generation, Editing and Composition	2024	arXiv	Text-to-Audio, Multimodal
AudioEditor: A Training-Free Diffusion-Based Audio Editing Framework	2024	arXiv	Diffusion-based text-to-audio	Code
Enabling Local Editing in Diffusion Models by Joint and Individual Component Analysis	2024	BMVC	Diffusion-based local image manipulation	Code
Steer-by-prior Editing of Symbolic Music Loops	2024	MML	Masked Language Modelling, music instruments	Code
Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music with Lightweight Finetuning	2024	ISMIR	Diffusion-based text-to-audio	Code
GroupDiff: Diffusion-based Group Portrait Editing	2024	ECCV	Diffusion-based image editing	Code
RegionDrag: Fast Region-Based Image Editing with Diffusion Models	2024	ECCV	Diffusion-based image editing	Code
SyncNoise: Geometrically Consistent Noise Prediction for Text-based 3D Scene Editing	2024	arXiv	Multi-view consistency
DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation	2024	arXiv	Diffusion-based editing	Code
MEDIC: Zero-shot Music Editing with Disentangled Inversion Control	2024	arXiv	Audio editing
3DEgo: 3D Editing on the Go!	2024	ECCV	Monocular 3D Scene Synthesis	Code
MedEdit: Counterfactual Diffusion-based Image Editing on Brain MRI	2024	SASHIMI	Biomedical editing
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing	2024	ECCV	Image editing
LEMON: Localized Editing with Mesh Optimization and Neural Shaders	2024	arXiv	Mesh editing
Diffusion Brush: A Latent Diffusion Model-based Editing Tool for AI-generated Images	2024	arXiv	Image editing
Streamlining Image Editing with Layered Diffusion Brushes	2024	arXiv	Image editing
SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editing	2024	arXiv	Image Editing Dataset	Code
Environment Maps Editing using Inverse Rendering and Adversarial Implicit Functions	2024	arXiv	Inverse rendering, HDR editing
HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion	2024	arXiv	Hair editing, Diffusion models
DiffuMask-Editor: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability	2024	arXiv	Synthetic Data Generation
Taming Rectified Flow for Inversion and Editing	2024	arXiv	Image Inversion	Code
Pathways on the Image Manifold: Image Editing via Video Generation	2024	arXiv	video-based editing, Frame2Frame, Temporal Editing Caption

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Datasets

Type: General

Dataset	#Items	#Papers Used	Link
Reason-Edit	12.4M+	1	Link
MagicBrush	10K	1	Link
InstructPix2Pix	500K	1	Link
EditBench	240	1	Link

Type: Image Captioning

Dataset	#Items	#Papers Used	Link
Conceptual Captions	3.3M	1	Link
CoSaL	22K+	1	Link
ReferIt	19K+	1	Link
Oxford-102 Flowers	8K+	1	Link
LAION-5B	5.85B+	1	Link
MS-COCO	330K	2	Link
DeepFashion	800K	2	Link
Fashion-IQ	77K+	1	Link
Fashion200k	200K	1	Link
MIT-States	63K+	1	Link
CIRR	36K+	1	Link

Type: ClipArt

Dataset	#Items	#Papers Used	Link
CoDraw	58K+	1	Link

Type: VQA

Dataset	#Items	#Papers Used	Link
i-CLEVR	70K+	1	Link

Type: Semantic Segmentation

Dataset	#Items	#Papers Used	Link
ADE20K	27K+	1	Link

Type: Object Classification

Dataset	#Items	#Papers Used	Link
Oxford-III-Pets	7K+	1	Link

Type: Depth Estimation

Dataset	#Items	#Papers Used	Link
NYUv2	408K+	1	Link

Type: Aesthetic-Based Editing

Dataset	#Items	#Papers Used	Link
Laion-Aesthetics V2	2.4B+	1	Link

Type: Dialog-Based Editing

Dataset	#Items	#Papers Used	Link
CelebA-Dialog	202K+	1	Link
Flickr-Faces-HQ	70K	2	Link

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Evaluation Metrics

Category	Evaluation Metrics	Formula	Usage
Perceptual Quality	Learned Perceptual Image Patch Similarity (LPIPS)	$\text{LPIPS}(x, x') = \sum_l ||\phi_l(x) - \phi_l(x')||^2$	Measures perceptual similarity between images, with lower scores indicating higher similarity.
	Structural Similarity Index (SSIM)	$\text{SSIM}(x, x') = \frac{(2\mu_x\mu_{x'} + C_1)(2\sigma_{xx'} + C_2)}{(\mu_x^2 + \mu_{x'}^2 + C_1)(\sigma_x^2 + \sigma_{x'}^2 + C_2)}$	Measures visual similarity based on luminance, contrast, and structure.
	Fréchet Inception Distance (FID)	$\text{FID} = ||\mu_r - \mu_g||^2 + \text{Tr}(\Sigma_r + \Sigma_g - 2(\Sigma_r \Sigma_g)^{1/2})$	Measures the distance between the real and generated image feature distributions.
	Inception Score (IS)	$\text{IS} = \exp(E_x D_{KL}(p(y|x) || p(y)))$	Evaluates image quality and diversity based on label distribution consistency.
Structural Integrity	Peak Signal-to-Noise Ratio (PSNR)	$\text{PSNR} = 10 \log_{10} \left( \frac{\text{MAX}^2}{\text{MSE}} \right)$	Measures image quality based on pixel-wise errors, with higher values indicating better quality.
	Mean Intersection over Union (mIoU)	$\text{mIoU} = \frac{1}{N} \sum_{i=1}^{N} \frac{|A_i \cap B_i|}{|A_i \cup B_i|}$	Assesses segmentation accuracy by comparing predicted and ground truth masks.
	Mask Accuracy	$\text{Accuracy} = \frac{\text{TP} + \text{TN}}{\text{TP} + \text{FP} + \text{FN} + \text{TN}}$	Evaluates the accuracy of generated masks.
	Boundary Adherence	$\text{BA} = \frac{|B_{\text{edit}} \cap B_{\text{target}}|}{|B_{\text{target}}|}$	Measures how well edits preserve object boundaries.
Semantic Alignment	Edit Consistency	$\text{EC} = \frac{1}{N} \sum_{i=1}^{N} 1{E_i = E_{\text{ref}}}$	Measures the consistency of edits across similar prompts.
	Target Grounding Accuracy	$\text{TGA} = \frac{\text{Correct Targets}}{\text{Total Targets}}$	Evaluates how well edits align with specified targets in the prompt.
	Embedding Space Similarity	$\text{CosSim}(v_x, v_{x'}) = \frac{v_x \cdot v_{x'}}{||v_x|| , ||v_{x'}||}$	Measures similarity between the edited and reference images in feature space.
	Decomposed Requirements Following Ratio (DRFR)	$\text{DRFR} = \frac{1}{N} \sum_{i=1}^{N} \frac{\text{Requirements Followed}}{\text{Total Requirements}}$	Assesses how closely the model follows decomposed instructions.
User-Based Metrics	User Study Ratings		Captures user feedback through ratings of image quality.
	Human Visual Turing Test (HVTT)	$\text{HVTT} = \frac{\text{Real Judgements}}{\text{Total Judgements}}$	Measures the ability of users to distinguish between real and generated images.
	Click-through Rate (CTR)	$\text{CTR} = \frac{\text{Clicks}}{\text{Total Impressions}}$	Tracks user engagement by measuring image clicks.
Diversity and Fidelity	Edit Diversity	$\text{Diversity} = \frac{1}{N} \sum_{i=1}^{N} D_{KL}(p_i || p_{\text{mean}})$	Measures the variability of generated images.
	GAN Discriminator Score	$\text{GDS} = \frac{1}{N} \sum_{i=1}^N D_{\text{GAN}}(x_i)$	Assesses the authenticity of generated images using a GAN discriminator.
	Reconstruction Error	$\text{RE} = ||x - \hat{x}||$	Measures the error between the original and generated images.
	Edit Success Rate	$\text{ESR} = \frac{\text{Successful Edits}}{\text{Total Edits}}$	Quantifies the success of applied edits.
Consistency and Cohesion	Scene Consistency	$\text{SC} = \frac{1}{N} \sum_{i=1}^{N} \text{Sim}(I_{\text{edit}}, I_{\text{orig}})$	Measures how edits maintain overall scene structure.
	Color Consistency	$\text{CC} = \frac{1}{N} \sum_{i=1}^{N} \frac{|C_{\text{edit}} \cap C_{\text{orig}}|}{|C_{\text{orig}}|}$	Measures color preservation between edited and original regions.
	Shape Consistency	$\text{ShapeSim} = \frac{1}{N} \sum_{i=1}^{N} \text{IoU}(S_{\text{edit}}, S_{\text{orig}})$	Quantifies how well shapes are preserved during edits.
	Pose Matching Score	$\text{PMS} = \frac{1}{N} \sum_{i=1}^{N} \text{Sim}(\theta_{\text{edit}}, \theta_{\text{orig}})$	Assesses pose consistency between original and edited images.
Robustness	Noise Robustness	$\text{NR} = \frac{1}{N} \sum_{i=1}^{N} ||x_i - x_{i,\text{noisy}}||$	Evaluates model robustness to noise.
	Perceptual Quality	$\text{PQ} = \frac{1}{N} \sum_{i=1}^{N} \text{Score}(x_i)$	A subjective quality metric based on human judgment.

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Disclaimer

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