ImageEngine/patina
An OSL Shader Library For Controllable, Complex, Plausible Materials (⭐ 16)
A Grounded Typology of Word Classes
We propose a grounded approach to meaning in language typology. We treat data from perceptual modalities, such as images, as a language-agnostic representation of meaning. Hence, we can quantify the function--form relationship between images and capt...
Automated Prompt Generation for Creative and Counterfactual Text-to-image Synthe…
Text-to-image generation has advanced rapidly with large-scale multimodal training, yet fine-grained controllability remains a critical challenge. Counterfactual controllability, defined as the capacity to deliberately generate images that contradict...
Visualization and Correction of Automated Segmentation, Tracking and Lineaging f…
Results: We present an application that enables the quantitative analysis of multichannel 5-D (x, y, z, t, channel) and large montage confocal fluorescence microscopy images. The image sequences show stem cells together with blood vessels, enabling q...
Marine Snow Removal Benchmarking Dataset
This paper introduces a new benchmarking dataset for marine snow removal of underwater images. Marine snow is one of the main degradation sources of underwater images that are caused by small particles, e.g., organic matter and sand, between the unde...
Snow Mask Guided Adaptive Residual Network for Image Snow Removal
Image restoration under severe weather is a challenging task. Most of the past works focused on removing rain and haze phenomena in images. However, snow is also an extremely common atmospheric phenomenon that will seriously affect the performance of...
Ontology-based Secure Retrieval of Semantically Significant Visual Contents
Image classification is an enthusiastic research field where large amount of image data is classified into various classes based on their visual contents. Researchers have presented various low-level features-based techniques for classifying images i...
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text…
State-of-the-art Text-to-Image models like Stable Diffusion and DALLE$\cdot$2 are revolutionizing how people generate visual content. At the same time, society has serious concerns about how adversaries can exploit such models to generate unsafe imag...
Let's ViCE! Mimicking Human Cognitive Behavior in Image Generation Evaluation
Research in Image Generation has recently made significant progress, particularly boosted by the introduction of Vision-Language models which are able to produce high-quality visual content based on textual inputs. Despite ongoing advancements in ter...
GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radia…
Recent works have shown that 3D-aware GANs trained on unstructured single image collections can generate multiview images of novel instances. The key underpinnings to achieve this are a 3D radiance field generator and a volume rendering process. Howe...
y4roc/Docker-PiShrink
Docker-Image to shrink your Pi-Image (⭐ 71)
Observed structural parameters of EAGLE galaxies: reconciling the mass-size rela…
We use mock images of $z=0.1$ galaxies in the 100 Mpc EAGLE simulation to establish the differences between the sizes and morphologies inferred from the stellar mass distributions and the optical light distributions. The optical, $r$-band images used...
ThoughtfulDev/EagleEye
Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search. (⭐ 5025)
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any…
The advent of large Vision-Language Models (VLMs) has significantly advanced multimodal tasks, enabling more sophisticated and accurate reasoning across various applications, including image and video captioning, visual question answering, and cross-...
Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
Contrastive Language-Image Pre-training (CLIP) plays an essential role in extracting valuable content information from images across diverse tasks. It aligns textual and visual modalities to comprehend the entire image, including all the details, eve...
Automatic Landmarks Correspondence Detection in Medical Images with an Applicati…
Purpose: Deformable Image Registration (DIR) can benefit from additional guidance using corresponding landmarks in the images. However, the benefits thereof are largely understudied, especially due to the lack of automatic landmark detection methods...
Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition
Current face recognition tasks are usually carried out on high-quality face images, but in reality, most face images are captured under unconstrained or poor conditions, e.g., by video surveillance. Existing methods are featured by learning data unce...
Automatic Controllable Colorization via Imagination
We propose a framework for automatic colorization that allows for iterative editing and modifications. The core of our framework lies in an imagination module: by understanding the content within a grayscale image, we utilize a pre-trained image gene...
Fast and Robust Femur Segmentation from Computed Tomography Images for Patient-S…
Osteoporosis is a common bone disease that increases the risk of bone fracture. Hip-fracture risk screening methods based on finite element analysis depend on segmented computed tomography (CT) images; however, current femur segmentation methods requ...
Streetscape augmentation using generative adversarial networks: insights related…
Deep learning using neural networks has provided advances in image style transfer, merging the content of one image (e.g., a photo) with the style of another (e.g., a painting). Our research shows this concept can be extended to analyse the design of...