Google Vids now lets you star in your own AI videos

Google is adding personalized AI avatars to Vids that let users create videos starring a digital version of themselves, ...

You can now edit videos in Google Vids by simply describing the changes

Google has added Gemini Omni and personal avatars to Vids, giving paid users new ways to create, edit, and present videos without traditional editing tools.
briefly

Riley Norton’s Springboks Debut Derailed After Rassie Erasmus Confirms Serious Training Injury

Riley Norton looked set for a major Springbok milestone before an unexpected training setback changed the team's immediate plans Rassie Erasmus has explained what unfolded as South Africa completed ...
briefly

South Korea’s Intimidating Training Video Goes Viral Again After Bafana Bafana’s World Cup Win

South Korea's intense World Cup training videos have resurfaced after Bafana Bafana defeated the Asian side 1-0 to reach the FIFA World Cup knockout stages. Image: Carl Recine Source: Getty Images ...
note

A Complete Guide to the Video Material Editor Training Course: From Application to Completion

This course does not teach basic PC usage or basic video editing software operations. It is a course for those with a certain level of editing experience to further systematize and specialize their ...
GitHub

dynamic-editor_training-free_text-driven_4d_scene_editing_with_multimodal_diffus.md

description [CVPR 2026][Image Generation][4D Gaussian Splatting] Multi-view videos are organized into a "camera $\times$ time" grid. By leveraging the dual-stream self-attention of MM-DiT, adjacent ...
IEEE

Stepwise Attention Control for Training-Free Image Editing

Abstract: Text-conditioned image editing aims to modify visual content based on natural language prompts while preserving the spatial structure of the input image. This capability plays a vital role ...
GitHub

FreeFine: Training-Free Diffusion for Geometric Image Editing

We’re gearing up to release the entire FreeFine ecosystem, with these key components currently in development: 📊 GeoBench benchmark dataset (2D/3D geometric editing scenarios) 📈 Evaluation code for ...
IEEE

A Dual-Stage Semi-Supervised Pre-Training Approach for Medical Image Segmentation

Abstract: Deep neural networks have played a vital role in developing automated methods for addressing medical image segmentation. However, their reliance on labeled data impedes the practicability.