Papers Multimodel-guided image editing
“Multimodel-guided image editing” 태그가 달린 논문 4편 · 필터 해제
Neural-Driven Image Editing
Traditional image editing typically relies on manual prompting, making it labor-intensive and inaccessible to individuals with limited motor control or language abilities. Leveraging recent advances in brain-computer int…
Contrastive LearningMultimodel-guided image editingGroupDiff: Diffusion-based Group Portrait Editing
Group portrait editing is highly desirable since users constantly want to add a person, delete a person, or manipulate existing persons. It is also challenging due to the intricate dynamics of human interactions and the …
Multimodel-guided 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+3SpecRef: 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 Generation