Browsing: AI News
Text-to-image (T2I) models are difficult to evaluate and often rely on question generation and answering (QG/A) methods to assess text-image faithfulness. However, current QG/A methods have…
Large Language Models have shown amazing capabilities in recent times. Diffusion models, in particular, have been widely used in a number of generative applications, from 3D…
In Reinforcement learning (RL), effectively integrating human feedback into learning processes has risen to the forefront as a significant challenge. This challenge becomes particularly pronounced in…
MATHVISTA is introduced as a benchmark to assess the mathematical reasoning abilities of Large Language Models (LLMs) and Large Multimodal Models (LMMs) within visual contexts. The…
The field of research in pose-guided person image synthesis has made significant progress in recent years, focusing on generating images of a person with the same…
Due to technological advancements and the rise of machine learning, the volume of data has increased. Global data production has grown substantially, hitting 64.2 zettabytes in…
The incredible popularity of 2D generative modelling has significantly impacted how they produce visual material. Deep generative networks still have a great deal of difficulty when…
In recent years, there have been exceptional advancements in Artificial Intelligence, with many new advanced models being introduced, especially in NLP and Computer Vision. CLIP is…
With learnt priors, RGB-only reconstruction with a monocular camera has made significant strides toward resolving the issues of low-texture areas and the inherent ambiguity of image-based…
Cartoon animation has seen significant progress since its beginnings in the early 1900s when animators would draw individual frames by hand on paper. While automation techniques…