4 papers · 1 filter
Controllable Image Generation with Composed Parallel Token Prediction
Jamie Stirling, Noura Al-Moubayed, Chris G. Willcocks +1
Conditional discrete generative models struggle to faithfully compose multiple input conditions. To address this, we derive a theoretically-grounded formulation for composing discr…
Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images
Jamie S. J. Stirling, Noura Al-Moubayed, Hubert P. H. Shum
Vector quantization approaches (VQ-VAE, VQ-GAN) learn discrete neural representations of images, but these representations are inherently position-dependent: codes are spatially ar…
AttenCraft: Attention-guided Disentanglement of Multiple Concepts for Text-to-Image Customization
Junjie Shentu, Matthew Watson, Noura Al Moubayed
Text-to-image (T2I) customization empowers users to adapt the T2I diffusion model to new concepts absent in the pre-training dataset. On this basis, capturing multiple new concepts…
MIEB: Massive Image Embedding Benchmark
Chenghao Xiao, Isaac Chung, Imene Kerboua +7
Image representations are often evaluated through disjointed, task-specific protocols, leading to a fragmented understanding of model capabilities. For instance, it is unclear whet…