Image Manipulation
157 papers with code • 1 benchmarks • 4 datasets
Libraries
Use these libraries to find Image Manipulation models and implementationsMost implemented papers
Versatile Diffusion: Text, Images and Variations All in One Diffusion Model
In this work, we expand the existing single-flow diffusion pipeline into a multi-task multimodal network, dubbed Versatile Diffusion (VD), that handles multiple flows of text-to-image, image-to-text, and variations in one unified model.
LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model
As an exemplar, we leverage LeftRefill to address two different challenges: reference-guided inpainting and novel view synthesis, based on the pre-trained StableDiffusion.
Semantic Image Synthesis via Adversarial Learning
In this paper, we propose a way of synthesizing realistic images directly with natural language description, which has many useful applications, e. g. intelligent image manipulation.
Learning Rich Features for Image Manipulation Detection
Image manipulation detection is different from traditional semantic object detection because it pays more attention to tampering artifacts than to image content, which suggests that richer features need to be learned.
Lifespan Age Transformation Synthesis
Most existing aging methods are limited to changing the texture, overlooking transformations in head shape that occur during the human aging and growth process.
Self-Supervised Scene De-occlusion
This is achieved via Partial Completion Network (PCNet)-mask (M) and -content (C), that learn to recover fractions of object masks and contents, respectively, in a self-supervised manner.
A Disentangling Invertible Interpretation Network for Explaining Latent Representations
We formulate interpretation as a translation of hidden representations onto semantic concepts that are comprehensible to the user.
High Resolution Face Age Editing
We present an encoder-decoder architecture for face age editing.
Enjoy Your Editing: Controllable GANs for Image Editing via Latent Space Navigation
Controllable semantic image editing enables a user to change entire image attributes with a few clicks, e. g., gradually making a summer scene look like it was taken in winter.
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
In this formulation, our method approaches the continuous aging process as a regression task between the input age and desired target age, providing fine-grained control over the generated image.