Researchers have proposed SMPLer-X, a generalist foundation model for 3D/4D human motion capture from monocular inputs. The model shows impressive generalization capabilities and outperforms previous benchmark results. The research highlights the need for more diverse and extensive datasets for accurate human pose and shape estimation. The researchers also emphasize the value of utilizing multiple datasets…

This article introduces the Builder design pattern in Python and explains its importance in writing clean and reusable code. The Builder pattern is part of the creational design pattern class and simplifies the creation of objects by breaking it down into individual steps. The article provides a code example demonstrating how to implement the Builder…

The text discusses the challenges faced by the computer vision community and highlights the development of multimodal foundation models with vision and vision-language capabilities. It explores various instructional strategies and introduces important multimodal conceptual frameworks and models such as CLIP, BEiT, CoCa, UniCL, MVP, and BEiTv2. The text also discusses T2I production, spatial controllability in…

The author discusses using a Bayesian framework to choose between two restaurants based on reviews. Initially, with no reviews, all ratings are equally likely. The author then updates these beliefs based on observed data, using the Dirichlet distribution. The posterior ratings of the two restaurants are calculated, and the probability that restaurant A is better…

Fine-tuning commercial language models (LLMs) can bypass safety measures and lead to dangerous responses. Researchers found that fine-tuning GPT-3.5 with malicious examples deactivated its safety switch. This raises concerns about the safety and liability of fine-tuned models. Even proprietary models like GPT-3.5 can be compromised through fine-tuning, highlighting the need for robust safety mechanisms. Achieving…

Researchers from SLAC National Accelerator Laboratory, Stanford University, MIT, and Toyota Research Institute have developed a new approach using computer vision to analyze X-ray movies of lithium-ion batteries. By analyzing every pixel, they were able to uncover new physical and chemical details of battery cycling, including the impact of carbon coating thickness on lithium-ion flow.…

Large language models like ChatGPT have the potential to transform various fields but integrating them into real-world products poses challenges. A powerful strategy called retrieval-augmented generation (RAG) has emerged, allowing connection to external information sources for more accurate outputs. Several articles explore the intricacies and practical considerations of working with RAG, helpful for those in…

AI-driven apps are becoming popular for enhancing professional online images. Apps like Remini, Try It On AI, and AI Suit Up use artificial intelligence to create polished profile photos. While some users find these images to be genuine and professional, others believe they appear noticeably artificial. Cost is a driving factor, as professional photo sessions…

Researchers from Microsoft and ETH Zurich have released a dataset called “HoloAssist” to address the challenges of developing AI assistants for real-world tasks. The dataset contains extensive recordings of participants collaborating on physical manipulation tasks, capturing various sensor modalities and annotations. The dataset enables the development of anticipatory and proactive AI assistants for real-world scenarios,…