Researchers have developed innovative methods for generating long videos from text, photos, and videos, improving stability and control over camera and object movements. These advancements enable the creation of professional videos with smooth motion and consistent backgrounds in minutes.
[CV] Video-Infinity: Distributed Long Video Generation https://t.co/9FlUHrhgV4 - Long-form video generation poses substantial challenges due to extensive resource demands for model training and inference. Current models are often constrained to brief clips, making⦠https://t.co/K6i5eIGS4e
π¨πππ«πππ¦π’π§π π2π: Consistent, Dynamic, and Extendable Long Video Generation from Text πππ«π¨π£: https://t.co/ybs1WXnhZN ππππ¬: https://t.co/CAgRcMmoKG enable the creation of long videos featuring rich motion dynamics without any stagnation (eg 1200 frames, 2 mins) https://t.co/mcWK4D2p9g
π¨ππ§π²ππ¨π§ππ«π¨π₯: Create Your Artwork with Versatile Control on Text-to-Image Generation πππ«π¨π£: https://t.co/yKH3PbyGM0 ππππ¬: https://t.co/8gGuW6xOlK A multi-control image synthesis framework that supports arbitrary combinations of diverse control signals. https://t.co/3rLZD1HHyK
π¨πππ±π-ππ§π’π¦πππ¨π«: Controllable Visual Text Video Generation πππ«π¨π£: https://t.co/w0IN7cZ9ak ππππ¬: https://t.co/4epuSFo8r8 Improve the stability of generated visual text by controlling the camera movement as well as the motion of visualized text https://t.co/fCQuqfae0M
π¨ππ¨ππ’π¨π§ππ¨π¨ππ‘: Motion-Aware Customized Text-to-Video Generation πππ«π¨π£: https://t.co/hPNkvQBgGP ππππ¬: https://t.co/wl7UONW0HE Animating customized subjects with precise control over both object and camera movements. https://t.co/D1DGJjXqa2
https://t.co/ghMaIe6Go4 transforms text, photos, and videos into high-quality content effortlessly. With features like text and image video makers, creators can produce professional videos with smooth motion and consistent backgrounds in minutes, caterin⦠https://t.co/smpXUHJna6
βΎοΈποΈ Video-Infinity: Distributed Long Video Generation π½οΈ Jupyter Notebook π₯³ Thanks to Zhenxiong Tan β€ Xingyi Yang β€ Songhua Liu β€ Xinchao Wang β€ πpage: https://t.co/13PhY2JpjK πpaper: https://t.co/7S4IPUkdf2 π§¬code: https://t.co/vJ9FNqt7PG πjupyter byβ¦ https://t.co/UvHJv6647y https://t.co/RSJ93MiMxU