Make-A-Video And Its Related Text To Video Projects

Text-to-video projects like make-a-video, Maria, OFA, GEN-2, CogVideo, Nuwa, MoCoGAN, tgan-pytorch, Redditube, and Ningyov employ multimodal techniques with distinctive features, leveraging deep learning for diverse video generation tasks.

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saying “video2video” is much simpler than “text2video”, I also want to add basic editing and semantic alignment is also simpler than this.

similar models, since video generating models are usually multimodal

maria, A Visual Experience Powered Conversational Agent, suggested by incident

OFA Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

GEN-2 by runway research with paper

according to its paper, it’s been compared to a range of models

cogvideo able to process chinese and english input

make a video in pytorch text to video generation

make a video in tensorflow

nuwa text to video generation

mocogan

mocogan-hd

tgan-pytorch

there are also some projects being a video generator but not so much deeplearning involved

redditube

Automatic-Youtube-Reddit-Text-To-Speech-Video-Generator-and-Uploader

tools for slideshow, video effects, presentations

phenomenon

vidshow Simple CLI to generate slideshow video with native FFMPEG

Twitch-Best-Of create best-of videos on twitch without token

Ningyov galgame effects