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20162022
most citedPhotorealistic Text-to-Image Diffusion Models with Deep Language Understanding

2.1k citations · 3.3k across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV202263 cited

Novel View Synthesis with Diffusion Models

Daniel Watson, William Chan, Ricardo Martin-Brualla +3

We present 3DiM, a diffusion model for 3D novel view synthesis, which is able to translate a single input view into consistent and sharp completions across many views. The core com…

cs.CV2022346 cited

Imagen Video: High Definition Video Generation with Diffusion Models

Jonathan Ho, William Chan, Chitwan Saharia +8

We present Imagen Video, a text-conditional video generation system based on a cascade of video diffusion models. Given a text prompt, Imagen Video generates high definition videos…

cs.CV20222.1k cited

Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

Chitwan Saharia, William Chan, Saurabh Saxena +11

We present Imagen, a text-to-image diffusion model with an unprecedented degree of photorealism and a deep level of language understanding. Imagen builds on the power of large tran…

cs.CV2019365 cited

Axial Attention in Multidimensional Transformers

Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn +1

We propose Axial Transformers, a self-attention-based autoregressive model for images and other data organized as high dimensional tensors. Existing autoregressive models either su…

cs.CV2019

Natural Image Manipulation for Autoregressive Models Using Fisher Scores

Wilson Yan, Jonathan Ho, Pieter Abbeel

Deep autoregressive models are one of the most powerful models that exist today which achieve state-of-the-art bits per dim. However, they lie at a strict disadvantage when it come…