Jan 5, 2021 · We’re introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3.

Mar 4, 2021 · Within CLIP, we discover high-level concepts that span a large subset of the human visual lexicon—geographical regions, facial expressions, religious iconography, famous people and more. By probing what each neuron affects downstream, we can get a glimpse into how CLIP performs its classification.

%PDF-1.5 %¿÷¢þ 5052 0 obj /Linearized 1 /L 6292422 /H [ 6406 595 ] /O 5057 /E 77076 /N 47 /T 6261830 >> endobj 5053 0 obj /Type /XRef /Length 86 /Filter ...

ConVIRT trained from scratch, which we call CLIP, for Con-trastive Language-Image Pre-training, is an efficient method of learning from natural language supervision. We study the scalability of CLIP by training a series of eight models spanning almost 2 orders of magnitude of compute and ob-serve that transfer performance is a smoothly predictable

Apr 13, 2022 · Contrastive models like CLIP have been shown to learn robust representations of images that capture both semantics and style. To leverage these representations for image generation, we propose a two-stage model: a prior that generates a CLIP image embedding given a text caption, and a decoder that generates an image conditioned on the image ...

Mar 24, 2024 · Try using ViT-L/14 - the Stable Diffusion, SDXL, etc. text encoder, or - slightly less ideal outcome - even ViT-B/32, and prompt a text-to-image generative AI with the CLIP opinion. “A CLIP knows what a CLIP sees” (if the models match or are very similar).

Feb 15, 2024 · We’re also building tools to help detect misleading content such as a detection classifier that can tell when a video was generated by Sora. We plan to include C2PA metadata ⁠ (opens in a new window) in the future if we deploy the model in an OpenAI product.

Apr 10, 2024 · In this notebook, we have gone through how to use the CLIP model, an example of creating an image embedding database using the CLIP model, performing semantic search and finally providing a user query to answer the question.

In January 2021, OpenAI introduced DALL·E. One year later, our newest system, DALL·E 2, generates more realistic and accurate images with 4x greater resolution. DALL·E 2 is preferred over DALL·E 1 when evaluators compared each model.

Jul 4, 2024 · CLIP GUI - XAI app ~ explainable (and guessable) AI with CLIP ViT & ResNet models