Computer Vision

Latent diffusion models have greatly increased in popularity in recent years. Because their outstanding generating capabilities, these models can produce high-fidelity synthetic datasets that can be added to supervised machine learning pipelines in situations when training...
Rising entry barriers are hindering AI's potential to revolutionize global trade. OpenAI's GPT4 is the most recent big language model to be disclosed. However, the model's architecture, training data, hardware, and hyperparameters are kept secret. Large...

Microsoft AI Proposes MM-REACT: A System Paradigm that Combines ChatGPT and Vision Experts for Advanced Multimodal Reasoning and Action

Large Language Models (LLMs) are rapidly advancing and contributing to notable economic and social transformations. With many artificial intelligence (AI) tools getting released on...

Unified Understanding: This AI Approach Provides a Better 3D Mapping for Robots

Developing robots that could do daily tasks for us is a long-lasting dream of humanity. We want them to walk around and help us...

Google AI Introduces A Vision-Only Approach That Aims To Achieve General UI Understanding Completely From Raw Pixels

For UI/UX designers, getting a better computational understanding of user interfaces is the primary step toward achieving more enhanced and intelligent UI behaviors. This...

Divide and Track: This AI Model Can Track 3D Human Motion in Videos by Decoupling

Deep learning has been a game-changer in the field of computer vision, enabling unprecedented advances in numerous applications. One of these applications is tracking...

Mimicking is the Way: Innovative AI Model Lets Robots Learn Tasks by Watching Human Videos

Robots are incredible. They have already revolutionized the way we live and work, and they still have the potential to do it again. They...

A New Artificial Intelligence (AI) Study Proposes A 3D-Aware Blending Technique With Generative NeRFs

Image blending is a primary method in computer vision, one of the most known branches in the artificial intelligence component. The goal is to...

A New AI Research Proposes VoxFormer: A Transformer-Based 3D Semantic Scene Completion Framework

Understanding a holistic 3D picture is a significant challenge for autonomous vehicles (AV) to perceive. It directly influences later activities like planning and map...

A New Artificial Intelligence (AI) Study From CMU and Meta Proposes a Framework for Efficient Neural Relighting of Articulated Hand Models

Neural rendering is a cutting-edge technology that uses artificial intelligence and deep learning to create photorealistic images and animations. Unlike traditional rendering techniques that...

Bringing the Power of NeRF to Your Home: This AI Model Makes Generating Renders Memory Efficient

Do you remember those advanced computers in sci-fi movies where everything is in 3D, you can move what you see around with your fingers,...

Computer Vision Meets 🫠 Reinforcement Learning: This AI Research Shows that Reward Optimization is a Viable Option to Optimize a Variety of Computer Vision...

Not how effectively the model maximizes the training goal, but rather how well the predictions are matched with the task risk, i.e., the model's...

Researchers From Stanford Introduce Disruptive Attention Consistency Method to Catapult Computer Vision Performance with Limited Datasets

In many real-world computer vision problems, such as healthcare, labeled training data can be scarce, leading to the development of machine learning models that...

Researchers From UNSW Sydney Proposes A Deep Learning Algorithm That Produces High-Resolution Modeled Images From Lower-Resolution Micro X-ray Computerized Tomography (CT)

Researchers have turned away from fossil fuels in favor of clean and renewable energy sources in response to the significant change in climate over...

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