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GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | Hello there, today we'll look at Glide towards photorealistic image generation and editing with text-guided diffusion models by Alex Nicolle, Prafula Dhariawal, Aditya Ramesh and others of OpenAI. This paper on a high level, well, I'll just show you what you can do. I'm sure you've all seen this paper in one way or ano... | 500 | GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: Hello there, today we'll look at Glide towards photorealistic image generation and editing with text-guided diffusion models by Alex Nicolle, Prafula Dhariawal, Aditya Ramesh and others of OpenAI. This paper on a high level, w... | [-0.023338761180639267, 0.01196559239178896, -0.00887258630245924, 0.011793375946581364, 0.016050564125180244, 0.020445525646209717, -0.015127484686672688, 0.006998872850090265, -0.02039041742682457, -0.04086349532008171, 0.009527008980512619, 0.025873785838484764, -0.014838160946965218, 0.005617697723209858, -0.002254... |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | I'm going to paint this area right here. And I'm going to issue the prompt around coffee table in front of a couch, and the model will generate it and so on. You can see that this enables sort of an interactive creation of this scenery at the end, the couch, the couch in the corner of the room. So changing the entire w... | 500 | GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: I'm going to paint this area right here. And I'm going to issue the prompt around coffee table in front of a couch, and the model will generate it and so on. You can see that this enables sort of an interactive creation of thi... | [-0.02665344625711441, 0.006354713812470436, 0.003984984941780567, -0.0034002691973000765, 0.006004913244396448, 0.005823154002428055, -0.022099178284406662, -0.004386227112263441, -0.01188636664301157, -0.04137251526117325, 0.011118177324533463, 0.028999168425798416, -0.011282789520919323, -0.0028841416351497173, 0.00... |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | model substantially to make very misleading pictures. But we'll get to that as well. Alright, so what is a diffusion model? And that's sort of at the core of this thing right here. A diffusion model is a different type of generative model than maybe you're used to from like a GAN or a VQ VAE. So in a GAN, a GAN is prob... | 500 | GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: model substantially to make very misleading pictures. But we'll get to that as well. Alright, so what is a diffusion model? And that's sort of at the core of this thing right here. A diffusion model is a different type of gene... | [-0.023775776848196983, -0.0021778957452625036, -0.005056838039308786, 0.012419488281011581, -0.0004962977254763246, 0.026752732694149017, -0.015828367322683334, 0.0031048720702528954, -0.027669742703437805, -0.0451061986386776, -0.006605120841413736, 0.02717801183462143, -0.009209956973791122, 0.02117094025015831, 0.0... |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | the cat, and predict and learn to predict the more sharp version of the cat. Okay, this is a foundation of many, many sort of denoising models, many up sampling models, super resolution models, what have you, okay, they do this in one step. But essentially, here we say, the individual step is small enough such that the... | 500 | GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: the cat, and predict and learn to predict the more sharp version of the cat. Okay, this is a foundation of many, many sort of denoising models, many up sampling models, super resolution models, what have you, okay, they do thi... | [-0.01872330904006958, 0.016276435926556587, -0.0016965885879471898, -0.001656877575442195, 0.017087554559111595, 0.02014276571571827, -0.004102905746549368, 0.008476183749735355, -0.018493492156267166, -0.04169146716594696, 0.003450631396844983, 0.03328287601470947, -0.012072140350937843, 0.003839292097836733, 0.00286... |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | "at each step is small enough, the posterior is well, well approximated by a diagonal Gaussian, that(...TRUNCATED) | 500 | "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: at ea(...TRUNCATED) | "[-0.016091231256723404, 0.017658470198512077, 0.0004116538038942963, 0.005556270945817232, 0.004762(...TRUNCATED) |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | "we're going to train the neural network to predict x t minus one from x t or the variational sort o(...TRUNCATED) | 500 | "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: we're(...TRUNCATED) | "[-0.015456033870577812, 0.011581901460886002, -0.003339245682582259, 0.01276978850364685, 0.0224618(...TRUNCATED) |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | "to reconstruct one step. So that's going to predict the noise that was added, given the image xt, g(...TRUNCATED) | 500 | "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: to re(...TRUNCATED) | "[-0.025305239483714104, 0.026801859959959984, -0.012144592590630054, 0.0029537654481828213, 0.02540(...TRUNCATED) |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | "is called guided diffusion. And one way to do it is to say, well, I have an additional classifier, (...TRUNCATED) | 500 | "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: is ca(...TRUNCATED) | "[-0.02795610949397087, 0.020477404817938805, -0.006167191546410322, -0.0004171243926975876, 0.01617(...TRUNCATED) |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | "we just train the model in both ways. During training, we sometimes just leave away the label. This(...TRUNCATED) | 500 | "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: we ju(...TRUNCATED) | "[-0.02293958142399788, 0.00941467098891735, 0.0065055652521550655, 0.007706699427217245, 0.01860716(...TRUNCATED) |
GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models | https://www.youtube.com/watch?v=gwI6g1pBD84 | "was a better direction because we also have the unconditional point right here. We can clearly say (...TRUNCATED) | 500 | "GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models: was a(...TRUNCATED) | "[-0.025296509265899658, 0.012773004360496998, -0.005128607153892517, -3.094382554991171e-05, 0.0136(...TRUNCATED) |
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