| Instructpix2pix: Learning to follow image editing instructions T Brooks*, A Holynski*, AA Efros Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 960 | 2023 |
| Instruct-nerf2nerf: Editing 3d scenes with instructions A Haque, M Tancik, AA Efros, A Holynski, A Kanazawa Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 215 | 2023 |
| Diffusion self-guidance for controllable image generation D Epstein, A Jabri, B Poole, A Efros, A Holynski Advances in Neural Information Processing Systems 36, 16222-16239, 2023 | 107 | 2023 |
| Fast Depth Densification for Occlusion-aware Augmented Reality A Holynski, J Kopf ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2018 …, 2018 | 85 | 2018 |
| Dreampose: Fashion video synthesis with stable diffusion J Karras, A Holynski, TC Wang, I Kemelmacher-Shlizerman Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 79* | 2023 |
| Tracking everything everywhere all at once Q Wang, YY Chang, R Cai, Z Li, B Hariharan, A Holynski, N Snavely Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 79 | 2023 |
| Animating Pictures with Eulerian Motion Fields A Holynski, B Curless, SM Seitz, R Szeliski Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 56 | 2021 |
| State of the art on diffusion models for visual computing R Po, W Yifan, V Golyanik, K Aberman, JT Barron, A Bermano, E Chan, ... Computer Graphics Forum 43 (2), e15063, 2024 | 53 | 2024 |
| Diffusion hyperfeatures: Searching through time and space for semantic correspondence G Luo, L Dunlap, DH Park, A Holynski, T Darrell Advances in Neural Information Processing Systems 36, 2024 | 42 | 2024 |
| Seeing the World in a Bag of Chips JJ Park, A Holynski, S Seitz Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 37 | 2020 |
| Nerfbusters: Removing ghostly artifacts from casually captured nerfs F Warburg, E Weber, M Tancik, A Holynski, A Kanazawa Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 35 | 2023 |
| Generative image dynamics Z Li, R Tucker, N Snavely, A Holynski Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 32 | 2024 |
| Automated worker activity analysis in indoor environments for direct-work rate improvement from long sequences of RGB-D images A Khosrowpour, I Fedorov, A Holynski, JC Niebles, M Golparvar-Fard Construction Research Congress 2014: Construction in a Global Network, 729-738, 2014 | 31 | 2014 |
| Reconfusion: 3d reconstruction with diffusion priors R Wu*, B Mildenhall*, P Henzler, K Park, R Gao, D Watson, PP Srinivasan, ... arXiv preprint arXiv:2312.02981, 2023 | 27 | 2023 |
| Realfill: Reference-driven generation for authentic image completion L Tang, N Ruiz, Q Chu, Y Li, A Holynski, DE Jacobs, B Hariharan, Y Pritch, ... ACM Transactions on Graphics (TOG) 43 (4), 1-12, 2024 | 19 | 2024 |
| Sunstage: Portrait reconstruction and relighting using the sun as a light stage Y Wang, A Holynski, X Zhang, X Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| Structure from motion for panorama-style videos C Sweeney, A Holynski, B Curless, SM Seitz arXiv preprint arXiv:1906.03539, 2019 | 11 | 2019 |
| Readout guidance: Learning control from diffusion features G Luo, T Darrell, O Wang, DB Goldman, A Holynski Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Disentangled 3d scene generation with layout learning D Epstein, B Poole, B Mildenhall, AA Efros, A Holynski arXiv preprint arXiv:2402.16936, 2024 | 7 | 2024 |
| Reducing Drift in Structure from Motion Using Extended Features A Holynski, D Geraghty, JM Frahm, C Sweeney, R Szeliski International Conference on 3D Vision (3DV), 51-60, 2020 | 7 | 2020 |
Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
