Papers Text-based Image Editing
“Text-based Image Editing” 태그가 달린 논문 54편 · 필터 해제
Stable Flow: Vital Layers for Training-Free Image Editing
Diffusion models have revolutionized the field of content synthesis and editing. Recent models have replaced the traditional UNet architecture with the Diffusion Transformer (DiT), and employed flow-matching for improved…
Text-based Image EditingVision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing
Text-to-image diffusion models have demonstrated remarkable progress in synthesizing high-quality images from text prompts, which boosts researches on prompt-based image editing that edits a source image according to a t…
DenoisingImage GenerationText-based Image EditingPixel Is Not A Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
Diffusion Models have emerged as powerful generative models for high-quality image synthesis, with many subsequent image editing techniques based on them. However, the ease of text-based image editing introduces signific…
DenoisingImage GenerationText-based Image EditingTurboEdit: Instant text-based image editing
We address the challenges of precise image inversion and disentangled image editing in the context of few-step diffusion models. We introduce an encoder based iterative inversion technique. The inversion network is condi…
AttributeText-based Image EditingSpecify and Edit: Overcoming Ambiguity in Text-Based Image Editing
Text-based editing diffusion models exhibit limited performance when the user's input instruction is ambiguous. To solve this problem, we propose $\textit{Specify ANd Edit}$ (SANE), a zero-shot inference pipeline for dif…
DenoisingDiversityLanguage ModelingLanguage Modelling+2FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
Current image editing methods primarily utilize DDIM Inversion, employing a two-branch diffusion approach to preserve the attributes and layout of the original image. However, these methods encounter challenges with non-…
Text-based Image EditingTIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing
As the field of image generation rapidly advances, traditional diffusion models and those integrated with multimodal large language models (LLMs) still encounter limitations in interpreting complex prompts and preserving…
Image GenerationText-based Image EditingPaint by Inpaint: Learning to Add Image Objects by Removing Them First
Image editing has advanced significantly with the introduction of text-conditioned diffusion models. Despite this progress, seamlessly adding objects to images based on textual instructions without requiring user-provide…
Image InpaintingLanguage ModelingLanguage ModellingLarge Language Model+3E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance
Diffusion-based image editing is a composite process of preserving the source image content and generating new content or applying modifications. While current editing approaches have made improvements under text guidanc…
Text-based Image EditingDoubly Abductive Counterfactual Inference for Text-based Image Editing
We study text-based image editing (TBIE) of a single image by counterfactual inference because it is an elegant formulation to precisely address the requirement: the edited image should retain the fidelity of the origina…
counterfactualCounterfactual InferenceStyle TransferText-based Image EditingMinecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application
In this paper, we first present the character texture generation system \textit{Minecraft-ify}, specified to Minecraft video game toward in-game application. Ours can generate face-focused image for texture mapping tailo…
Image GenerationMinecraftText-based Image Editingtext-guided-image-editing+1Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing
In the field of image editing, Null-text Inversion (NTI) enables fine-grained editing while preserving the structure of the original image by optimizing null embeddings during the DDIM sampling process. However, the NTI …
Text-based Image EditingSpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image Editing
Text-conditional image editing based on large diffusion generative model has attracted the attention of both the industry and the research community. Most existing methods are non-reference editing, with the user only ab…
Multimodel-guided image editingText-based Image Editingtext-guided-image-editingText-to-Image GenerationInversion-Free Image Editing with Natural Language
Despite recent advances in inversion-based editing, text-guided image manipulation remains challenging for diffusion models. The primary bottlenecks include 1) the time-consuming nature of the inversion process; 2) the s…
Image ManipulationText-based Image EditingDirect Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
Text-guided diffusion models have revolutionized image generation and editing, offering exceptional realism and diversity. Specifically, in the context of diffusion-based editing, where a source image is edited according…
Image GenerationText-based Image EditingDynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
Large-scale text-to-image generative models have been a ground-breaking development in generative AI, with diffusion models showing their astounding ability to synthesize convincing images following an input text prompt.…
Prompt LearningText-based Image EditingControlling Geometric Abstraction and Texture for Artistic Images
We present a novel method for the interactive control of geometric abstraction and texture in artistic images. Previous example-based stylization methods often entangle shape, texture, and color, while generative methods…
Image GenerationImage StylizationParameter PredictionStyle Transfer+1Differential Diffusion: Giving Each Pixel Its Strength
Diffusion models have revolutionized image generation and editing, producing state-of-the-art results in conditioned and unconditioned image synthesis. While current techniques enable user control over the degree of chan…
Image GenerationText-based Image EditingLANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
We propose an automated algorithm to stress-test a trained visual model by generating language-guided counterfactual test images (LANCE). Our method leverages recent progress in large language modeling and text-based ima…
counterfactualLanguage ModelingLanguage ModellingSensitivity+1Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
In image editing employing diffusion models, it is crucial to preserve the reconstruction fidelity to the original image while changing its style. Although existing methods ensure reconstruction fidelity through optimiza…
Text-based Image Editing