YouTube is going all in on AI (3 minute read)
YouTube unveiled new AI tools for creators, including AI-generated photo and video backgrounds, topic suggestions, and music recommendations. A highlight is Dream Screen for AI-generated backgrounds in YouTube Shorts. This shift may reshape how creators design content, with AI-driven insights influencing content focus and an increased prevalence of AI-generated material on the platform.
Making Better Virtual Views of Images (24 minute read)
Neural radiance fields (NeRF) are great for creating virtual views but struggle with shiny or see-through objects. This new method, called refractive-reflective field, fixes this by better handling light changes and producing clearer images of such tricky objects.
A More Consistent Image Editing (3 minute read)
Most current tools for semantic image editing, where images are changed based on their meaning, struggle with blending new objects smoothly into scenes. This new method improves this by smartly understanding both fully seen and partially hidden objects.
A New Tool to Fix Broken Videos (19 minute read)
Over the last ten years, there have been big improvements in fixing damaged videos using special technologies. However, many of these tools aren't perfect at fixing common video issues seen in things like live streaming. This study created BSCV, a new collection of tools and videos to help fix these problems even better.
AI’s $200B Question (4 minute read)
The surge in Generative AI, exemplified by Nvidia's success, underscores a vast demand for GPUs and AI training, leading to significant investments in the sector. As major tech companies drive this growth, the challenge for startups is to shift focus from infrastructure to creating tangible end-customer value.