A brief overview of ChatGPT: The history, status quo and potential future development
ChatGPT, an artificial intelligence generated content (AIGC) model developed by OpenAI,
has attracted world-wide attention for its capability of dealing with challenging language …
has attracted world-wide attention for its capability of dealing with challenging language …
Vision-language pre-training: Basics, recent advances, and future trends
This monograph surveys vision-language pre-training (VLP) methods for multimodal
intelligence that have been developed in the last few years. We group these approaches …
intelligence that have been developed in the last few years. We group these approaches …
Rodin: A generative model for sculpting 3d digital avatars using diffusion
This paper presents a 3D diffusion model that automatically generates 3D digital avatars
represented as neural radiance fields (NeRFs). A significant challenge for 3D diffusion is …
represented as neural radiance fields (NeRFs). A significant challenge for 3D diffusion is …
Adbench: Anomaly detection benchmark
Given a long list of anomaly detection algorithms developed in the last few decades, how do
they perform with regard to (i) varying levels of supervision,(ii) different types of anomalies …
they perform with regard to (i) varying levels of supervision,(ii) different types of anomalies …
Text-to-image diffusion models in generative ai: A survey
This survey reviews text-to-image diffusion models in the context that diffusion models have
emerged to be popular for a wide range of generative tasks. As a self-contained work, this …
emerged to be popular for a wide range of generative tasks. As a self-contained work, this …
Modelscope text-to-video technical report
This paper introduces ModelScopeT2V, a text-to-video synthesis model that evolves from a
text-to-image synthesis model (ie, Stable Diffusion). ModelScopeT2V incorporates spatio …
text-to-image synthesis model (ie, Stable Diffusion). ModelScopeT2V incorporates spatio …
Holistic evaluation of text-to-image models
The stunning qualitative improvement of text-to-image models has led to their widespread
attention and adoption. However, we lack a comprehensive quantitative understanding of …
attention and adoption. However, we lack a comprehensive quantitative understanding of …
Antigen-specific antibody design and optimization with diffusion-based generative models for protein structures
Antibodies are immune system proteins that protect the host by binding to specific antigens
such as viruses and bacteria. The binding between antibodies and antigens is mainly …
such as viruses and bacteria. The binding between antibodies and antigens is mainly …
Diffusion models in medical imaging: A comprehensive survey
Denoising diffusion models, a class of generative models, have garnered immense interest
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
lately in various deep-learning problems. A diffusion probabilistic model defines a forward …
Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions
We provide theoretical convergence guarantees for score-based generative models (SGMs)
such as denoising diffusion probabilistic models (DDPMs), which constitute the backbone of …
such as denoising diffusion probabilistic models (DDPMs), which constitute the backbone of …