Search Results for author:
Found 5 papers, 2 papers with code
Generalizable Implicit Neural Representations via Instance Pattern Composers
Despite recent advances in implicit neural representations (INRs), it remains challenging for a coordinate-based multi-layer perceptron (MLP) of INRs to learn a common representation across data instances and generalize it for unseen instances.
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
After code stacks in the sequence are randomly masked, Contextual RQ-Transformer is trained to infill the masked code stacks based on the unmasked contexts of the image.
Ranked #1 on
Text-to-Image Generation
on Conceptual Captions
Autoregressive Image Generation using Residual Quantization
However, we postulate that previous VQ cannot shorten the code sequence and generate high-fidelity images together in terms of the rate-distortion trade-off.
Ranked #2 on
Text-to-Image Generation
on Conceptual Captions
Contrastive Regularization for Semi-Supervised Learning
Consistency regularization on label predictions becomes a fundamental technique in semi-supervised learning, but it still requires a large number of training iterations for high performance.
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
The results imply that cross-modal attention in VQA is important to improve not only VQA accuracy, but also the robustness to various anomalies.
