Slotdiffusion: Object-centric generative modeling with diffusion models
Object-centric learning aims to represent visual data with a set of object entities (aka slots),
providing structured representations that enable systematic generalization. Leveraging …
providing structured representations that enable systematic generalization. Leveraging …
Disco-diff: Enhancing continuous diffusion models with discrete latents
Diffusion models (DMs) have revolutionized generative learning. They utilize a diffusion
process to encode data into a simple Gaussian distribution. However, encoding a complex …
process to encode data into a simple Gaussian distribution. However, encoding a complex …
Diffusion of thoughts: Chain-of-thought reasoning in diffusion language models
Recently, diffusion models have garnered significant interest in the field of text processing
due to their many potential advantages compared to conventional autoregressive models. In …
due to their many potential advantages compared to conventional autoregressive models. In …
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey
Building on the foundations of language modeling in natural language processing, Next
Token Prediction (NTP) has evolved into a versatile training objective for machine learning …
Token Prediction (NTP) has evolved into a versatile training objective for machine learning …
Trustworthy Large Models in Vision: A Survey
The rapid progress of Large Models (LMs) has recently revolutionized various fields of deep
learning with remarkable grades, ranging from Natural Language Processing (NLP) to …
learning with remarkable grades, ranging from Natural Language Processing (NLP) to …