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Tutorials

[Olewave's Review] CLIP (3/3): Learning Transferable Visual Models From Natural Language Supervision

The final part of this CLIP review lands on the results section, which is where OpenAI's contrastive image-text model shifted from an interesting idea to a fou…

Jan 14, 2023· 1 min read

Tutorials

[Olewave's Review] CLIP (2/3): Learning Transferable Visual Models From Natural Language Supervision

OpenAI's CLIP flipped the script on computer vision by tossing out fixed label sets and instead training on 400 million (image, text) pairs scraped from the in…

Jan 1, 2023· 1 min read

Tutorials

[Olewave's Review] CLIP (1/3): Learning Transferable Visual Models From Natural Language Supervision

Before there was BLIP, LLaVA, or any speech-LLM worth its salt, there was CLIP, and this is where the story begins.

Dec 17, 2022· 1 min read

Tutorials

[Long Review] Cascaded Diffusion Models for High Fidelity Image Generation

Before Imagen and DALL-E 2 made diffusion the default for generative imagery, this Google Brain paper laid out the cascaded diffusion recipe that a lot of late…

Jun 4, 2022· 1 min read

Tutorials

[Short Review] Cascaded Diffusion Models for High Fidelity Image Generation

Cascaded diffusion is the two-stage-plus recipe underneath a lot of modern generative work: generate a small image with one diffusion model, then hand it to su…

Jun 4, 2022· 1 min read

Tag: computervision