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Aleksander Holynski — most-cited papers & profile · Generative Models
← authors
·
overview
Aleksander Holynski
15
papers ·
149
citations ·
18
h-index
Google (United States) · Berkeley College · University of California, Berkeley
Google Scholar ↗
Semantic Scholar ↗
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Most-cited papers
InstructPix2Pix: Learning to Follow Image Editing Instructions
2022 · 44 citations
Diffusion Self-Guidance for Controllable Image Generation
2023 · 42 citations
CAT3D: Create Anything in 3D with Multi-View Diffusion Models
2024 · 11 citations
DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion
2023 · 4 citations
Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
2024
Readout Guidance: Learning Control from Diffusion Features
2023
Disentangled 3D Scene Generation with Layout Learning
2024
Infinite Texture: Text-guided High Resolution Diffusion Texture Synthesis
2024
CAT4D: Create Anything in 4D with Multi-View Video Diffusion Models
2024
Top co-authors
Ben Poole
· 4
Alexei A. Efros
· 3
Dave Epstein
· 2
Ira Kemelmacher-Shlizerman
· 2
Jonathan T. Barron
· 2
Steven M. Seitz
· 2
Alex Trevithick
· 1
Allan Jabri
· 1
Arthur Brussee
· 1
Ben Mildenhall
· 1
Boyang Zhou
· 1
Brian Curless
· 1
Topics
Diffusion Models
Text-to-Image
Text-to-Video
Training & Sampling
Conditioning & Control
3D & NeRF Generation