Alexei A. Efros
Professor
Applies data-driven and self-supervised learning to computer vision and graphics using large unlabeled image collections.
Alexei A. Efros's lab at UC Berkeley works on generative & foundation models. 30 papers since 2023, 30 at top venues, mostly NeurIPS and CVPR. 6 PhD students. 52 alumni, most often to Meta and OpenAI. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 100%
- PhD students
- 6
- MS students
- 0
- alumni listed
- 52
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 5 · collecting
- 7 papers2025 · T1 7
- 9 papers2024 · T1 9
- 9 papers2023 · T1 9
T1 venuesOtherVenues: NeurIPS, CVPR, ICLR, ICCV, ICML
Research focuspaper titles that use each topic's words
- Generative & foundation models11 papers
- self-supervised learning0 papers
- self-supervised0 papers
- data-driven0 papers
- applies0 papers
Paper list
From the lab homepage.
20265 papers
- SIGGRAPH (T1)Autoregressive Modeling of Film with Applications in Video Montage
- NeurIPS (T1)Balancing Frequencies and Pixels in Flow Matching
- CVPR (T1)It's Never Too Late: Noise Optimization for Collapse Recovery in Trained Diffusion Models
- NeurIPS (T1)Neuron Populations Exhibit Divergent Selectivity with Scale
- NeurIPS (T1)The Many Senses of Visual Similarity: A Text-Prompted Image Perceptual Metric
20257 papers
- CVPR (T1)Continuous 3D Perception Model with Persistent State
- NeurIPS (T1)Fast Data Attribution for Text-to-Image Models
- CVPR (T1)GPS as a Control Signal for Image Generation
- ICLR (T1)Interpreting the Second-Order Effects of Neurons in CLIP
- ICLR (T1)Prioritized Generative Replay
- NeurIPS (T1)Vision Transformers Don't Need Trained Registers
- NeurIPS (T1)Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting
20249 papers
- CVPR (T1)COLMAP-Free 3D Gaussian Splatting
- NeurIPS (T1)Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
- ECCV (T1)Diffusion Models as Data Mining Tools
- ICML (T1)Disentangled 3D Scene Generation with Layout Learning
- NeurIPS (T1)Evaluating Multiview Object Consistency in Humans and Image Models
- ICLR (T1)Idempotent Generative Network
- ICLR (T1)Interpreting CLIP's Image Representation via Text-Based Decomposition
- NeurIPS (T1)Interpreting the Weight Space of Customized Diffusion Models
- CVPR (T1)Sequential Modeling Enables Scalable Learning for Large Vision Models
20239 papers
- NeurIPS (T1)Differentiable Blocks World: Qualitative 3D Decomposition by Rendering Primitives
- NeurIPS (T1)Diffusion Self-Guidance for Controllable Image Generation
- ICCV (T1)Evaluating Data Attribution for Text-to-Image Models
- CVPR (T1)GLaD: Generalizing Dataset Distillation via Deep Generative Prior
- ICCV (T1)Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions
- CVPR (T1)InstructPix2Pix: Learning to Follow Image Editing Instructions
- ICML (T1)Internet Explorer: Targeted Representation Learning on the Open Web
- CVPR (T1)Putting People in Their Place: Affordance-Aware Human Insertion into Scenes
- ICCV (T1)Rosetta Neurons: Mining the Common Units in a Model Zoo
Where alumni went52 listed, 56% to industry
Industry 10Academia 8
Most often to
- Meta
- OpenAI
- Adobe
Also to
- Carnegie Mellon University
- Georgia Tech
- UIUC
Apply to UC BerkeleyFall 2027
UC Berkeley EECS Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS (non-English-country degrees)
- Fee
- See program page
Confirmed on the program page.
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Data
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- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
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