3 papers
cs.LG2025
Through a Steerable Lens: Magnifying Neural Network Interpretability via Phase-Based Extrapolation
Farzaneh Mahdisoltani, Saeed Mahdisoltani, Roger B. Grosse +1
Understanding the internal representations and decision mechanisms of deep neural networks remains a critical open challenge. While existing interpretability methods often identify…
cs.CV2024
High-Resolution Frame Interpolation with Patch-based Cascaded Diffusion
Junhwa Hur, Charles Herrmann, Saurabh Saxena +6
Despite the recent progress, existing frame interpolation methods still struggle with processing extremely high resolution input and handling challenging cases such as repetitive t…
cs.CV2024
Greedy Growing Enables High-Resolution Pixel-Based Diffusion Models
Cristina N. Vasconcelos, Abdullah Rashwan, Austin Waters +22
We address the long-standing problem of how to learn effective pixel-based image diffusion models at scale, introducing a remarkably simple greedy growing method for stable trainin…