slavabarkov/tidy
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine (⭐ 549)
Improving Reference-based Distinctive Image Captioning with Contrastive Rewards
Distinctive Image Captioning (DIC) -- generating distinctive captions that describe the unique details of a target image -- has received considerable attention over the last few years. A recent DIC method proposes to generate distinctive captions by...
Rethinking the Reference-based Distinctive Image Captioning
Distinctive Image Captioning (DIC) -- generating distinctive captions that describe the unique details of a target image -- has received considerable attention over the last few years. A recent DIC work proposes to generate distinctive captions by co...
FREE-Edit: Using Editing-aware Injection in Rectified Flow Models for Zero-shot…
Image-driven video editing aims to propagate edit contents from the modified first frame to the rest frames. The existing methods usually invert the source video to noise using a pre-trained image-to-video (I2V) model and then guide the sampling proc...
RocketChat/Docker.Official.Image
Docker hub - community managed image (⭐ 337)
Parameter-Efficient MoE LoRA for Few-Shot Multi-Style Editing
In recent years, image editing has garnered growing attention. However, general image editing models often fail to produce satisfactory results when confronted with new styles. The challenge lies in how to effectively fine-tune general image editing...
Zero-Shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Mo…
Diffusion-based zero-shot image restoration and enhancement models have achieved great success in various tasks of image restoration and enhancement. However, directly applying them to video restoration and enhancement results in severe temporal flic...
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data…
With the help of conditioning mechanisms, the state-of-the-art diffusion models have achieved tremendous success in guided image generation, particularly in text-to-image synthesis. To gain a better understanding of the training process and potential...
Long-tailed Food Classification
Food classification serves as the basic step of image-based dietary assessment to predict the types of foods in each input image. However, food image predictions in a real world scenario are usually long-tail distributed among different food classes,...
List of image-sharing websites - Wikipedia
the image or video formats allowed for uploading IPTC support: support for the IPTC image header Yes - IPTC headers are read upon upload and exposed via
20,000+ Free Girl Breast & Woman Images - Pixabay
Find your perfect picture for your project. Over 5.9 million+ high quality stock images, videos and music shared by our talented community. Find images of Girl Breast Royalty-free No attribution required …
tholman/intense-images
A simple library to view large images up close using simple mouse interaction, and the full screen. (⭐ 2568)
AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generat…
As cutting-edge Text-to-Image (T2I) generation models already excel at producing remarkable single images, an even more challenging task, i.e., multi-turn interactive image generation begins to attract the attention of related research communities. T...
Efficient data-driven gap filling of satellite image time series using deep neur…
The abundance of gaps in satellite image time series often complicates the application of deep learning models such as convolutional neural networks for spatiotemporal modeling. Based on previous work in computer vision on image inpainting, this pape...
DeepMeshFlow: Content Adaptive Mesh Deformation for Robust Image Registration
Image alignment by mesh warps, such as meshflow, is a fundamental task which has been widely applied in various vision applications(e.g., multi-frame HDR/denoising, video stabilization). Traditional mesh warp methods detect and match image features,...
PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation
Effective training of deep image segmentation models is challenging due to the need for abundant, high-quality annotations. Generating annotations is laborious and time-consuming for human experts, especially in medical image segmentation. To facilit...
Mars Attacks - Wikipedia
merchandising, including an intercompany crossover with the Image Universe, titled Mars Attacks Image and published by Image Comics. In 2012, Topps released
Toward effective protection against diffusion based mimicry through score distil…
While generative diffusion models excel in producing high-quality images, they can also be misused to mimic authorized images, posing a significant threat to AI systems. Efforts have been made to add calibrated perturbations to protect images from di...
SEED-Data-Edit Technical Report: A Hybrid Dataset for Instructional Image Editin…
In this technical report, we introduce SEED-Data-Edit: a unique hybrid dataset for instruction-guided image editing, which aims to facilitate image manipulation using open-form language. SEED-Data-Edit is composed of three distinct types of data: (1)...
BEiT: BERT Pre-Training of Image Transformers
We introduce a self-supervised vision representation model BEiT, which stands for Bidirectional Encoder representation from Image Transformers. Following BERT developed in the natural language processing area, we propose a masked image modeling task...