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Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignm…
Slot Attention (SA) with pretrained diffusion models has recently shown promise for object-centric learning (OCL), but suffers from slot entanglement and weak alignment between object slots and image content. We propose Contrastive Object-centric Dif...
Improving Vector-Quantized Image Modeling with Latent Consistency-Matching Diffu…
By embedding discrete representations into a continuous latent space, we can leverage continuous-space latent diffusion models to handle generative modeling of discrete data. However, despite their initial success, most latent diffusion methods rely...
Rollo 2x2 round label printing too small
hi everyone! i just got my new rollo thermal printer so i can print label stickers for my art prints and i cannot for the life of me figure out how to make my image fill the entire sticker. i have att...
Found in an 1885 basement, Jersey City, NJ
Came across this while cleaning out the rafters (lighter for size reference). Google image says it’s some sort of gardening tool from Newark New Jersey, however, none of the images look exactly like...
Omni-GAN: On the Secrets of cGANs and Beyond
The conditional generative adversarial network (cGAN) is a powerful tool of generating high-quality images, but existing approaches mostly suffer unsatisfying performance or the risk of mode collapse. This paper presents Omni-GAN, a variant of cGAN t...
e5-omni: Explicit Cross-modal Alignment for Omni-modal Embeddings
Modern information systems often involve different types of items, e.g., a text query, an image, a video clip, or an audio segment. This motivates omni-modal embedding models that map heterogeneous modalities into a shared space for direct comparison...
Qwen3-Omni Technical Report
We present Qwen3-Omni, a single multimodal model that, for the first time, maintains state-of-the-art performance across text, image, audio, and video without any degradation relative to single-modal counterparts. Qwen3-Omni matches the performance o...
Image Classification by Throwing Quantum Kitchen Sinks at Tensor Networks
Several variational quantum circuit approaches to machine learning have been proposed in recent years, with one promising class of variational algorithms involving tensor networks operating on states resulting from local feature maps. In contrast, a...
Double Whammy - Dad sends photo of his computer to show me a photo of his phone…
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The 12 classes, painted by AI - Link to individual images in comment, including…
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List of datasets in computer vision and image processing - Wikipedia
Lake, Brenden (2019-11-09). "Omniglot data set for one-shot learning". GitHub. Retrieved 2019-11-10. LeCun, Yann; et al. (1998). "Gradient-based learning
Recraft - Wikipedia
Studio. Recraft models are also hosted as an image generation API on fal, Replicate, Prodia, and others. Recraft V2 was released in March 2024 and was the company’s
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jordyv/kocam
Simple daemon to check an IP camera for motion and save an image with difference mask (⭐ 0)
Facebook - Apps on Google Play
Whether youâre thrifting gear, showing reels to that group who gets it, or sharing laughs over fun images reimagined by AI, Facebook helps you make things happen like no other social network.
ArashRabbani/ITPM
Image-based Throat Permeability Model for flow in porous media (⭐ 6)
pprasad14/Urine-Test-Strip-Analysis
Using Image Processing and Machine Learning for Urine Test Strip Analysis (2018) (⭐ 5)
Urine Microscopic Image Dataset
Urinalysis is a standard diagnostic test to detect urinary system related problems. The automation of urinalysis will reduce the overall diagnostic time. Recent studies used urine microscopic datasets for designing deep learning based algorithms to c...
Messi: The first day Henry entered the dressing room, I did not dare to look him…
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