101 citations · 220 across the 11 of their papers we have counts for
12 papers · 1 filter
Visual Prompt Tuning for Generative Transfer Learning
Kihyuk Sohn, Yuan Hao, José Lezama +5
Transferring knowledge from an image synthesis model trained on a large dataset is a promising direction for learning generative image models from various domains efficiently. Whil…
Improved Masked Image Generation with Token-Critic
José Lezama, Huiwen Chang, Lu Jiang +1
Non-autoregressive generative transformers recently demonstrated impressive image generation performance, and orders of magnitude faster sampling than their autoregressive counterp…
MaskGIT: Masked Generative Image Transformer
Huiwen Chang, Han Zhang, Lu Jiang +2
Generative transformers have experienced rapid popularity growth in the computer vision community in synthesizing high-fidelity and high-resolution images. The best generative tran…
Controllable and Progressive Image Extrapolation
Yijun Li, Lu Jiang, Ming-Hsuan Yang
Image extrapolation aims at expanding the narrow field of view of a given image patch. Existing models mainly deal with natural scene images of homogeneous regions and have no cont…
Neural Design Network: Graphic Layout Generation with Constraints
Hsin-Ying Lee, Lu Jiang, Irfan Essa +4
Graphic design is essential for visual communication with layouts being fundamental to composing attractive designs. Layout generation differs from pixel-level image synthesis and…
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction
Junwei Liang, Lu Jiang, Kevin Murphy +2
This paper studies the problem of predicting the distribution over multiple possible future paths of people as they move through various visual scenes. We make two main contributio…