Papers with Code 아카이브
Text-based Image Editing
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 0
- 평가표
- 2
- 보존된 평가 기록
- 18
Nose should be sharped and lips should be less fat
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Cora: Correspondence-aware image editing using few step diffusion
POEM: Precise Object-level Editing via MLLM control
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement
KV-Edit: Training-Free Image Editing for Precise Background Preservation
PartEdit: Fine-Grained Image Editing using Pre-Trained Diffusion Models
FireFlow: Fast Inversion of Rectified Flow for Image Semantic Editing
Action-based image editing guided by human instructions
LoRA of Change: Learning to Generate LoRA for the Editing Instruction from A Single Before-After Image Pair
Pathways on the Image Manifold: Image Editing via Video Generation
Stable Flow: Vital Layers for Training-Free Image Editing
Vision-guided and Mask-enhanced Adaptive Denoising for Prompt-based Image Editing
Pixel Is Not A Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models
TurboEdit: Instant text-based image editing
Specify and Edit: Overcoming Ambiguity in Text-Based Image Editing
FlexiEdit: Frequency-Aware Latent Refinement for Enhanced Non-Rigid Editing
TIE: Revolutionizing Text-based Image Editing for Complex-Prompt Following and High-Fidelity Editing
Paint by Inpaint: Learning to Add Image Objects by Removing Them First
E4C: Enhance Editability for Text-Based Image Editing by Harnessing Efficient CLIP Guidance
Doubly Abductive Counterfactual Inference for Text-based Image Editing
Minecraft-ify: Minecraft Style Image Generation with Text-guided Image Editing for In-Game Application
Wavelet-Guided Acceleration of Text Inversion in Diffusion-Based Image Editing
SpecRef: A Fast Training-free Baseline of Specific Reference-Condition Real Image Editing
Inversion-Free Image Editing with Natural Language
Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
Dynamic Prompt Learning: Addressing Cross-Attention Leakage for Text-Based Image Editing
Controlling Geometric Abstraction and Texture for Artistic Images
Differential Diffusion: Giving Each Pixel Its Strength
LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Negative-prompt Inversion: Fast Image Inversion for Editing with Text-guided Diffusion Models
MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing
Delta Denoising Score
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Erasing Concepts from Diffusion Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.