Interpreting the Inner-Workings of Vision Models
Yossi Gandelsman [2025]

Disentangled Visual Generative Models
Dave Epstein [2024]

Generative Models for Image and Long Video Synthesis
Tim Brooks [2023]

Generative Models of Images and Neural Networks
Bill Peebles [2023]

Scalable Binding
Allan Jabri [2023]

Test-Time Training
Yu Sun [2023]

Machine Learning for Deep Image Synthesis
Taesung Park [2021]

Modeling Visual Minutiae: Gestures, Styles, and Temporal Patterns
Shiry Ginosar [2020]

Multiplicative Coding and Factorization in Vector Symbolic Models of Cognition
Spencer Kent [2020]

Learning to Generalize via Self-Supervised Prediction
Deepak Pathak [2019]

Image Synthesis for Self-Supervised Visual Representation Learning
Richard Zhang [2018]

Visual Learning Beyond Direct Supervision
Tinghui Zhou [2018]

Beyond Photo-Consistency: Shape, Reflectance, and Material Estimation Using Light-Field Cameras
Ting-Chun Wang [2017]

Learning to Synthesize and Manipulate Natural Images
Jun-Yan Zhu [2017]