MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation

TL;DR

MagicVideo-V2 is an end-to-end multi-stage system that generates high-quality, aesthetically pleasing videos from text descriptions, integrating multiple modules for improved fidelity and smoothness.

Contribution

It introduces a novel multi-stage architecture combining text-to-image, motion, reference embedding, and interpolation modules for high-quality video synthesis.

Findings

Outperforms leading Text-to-Video systems in user evaluations.

Produces high-resolution, smooth, and aesthetically pleasing videos.

Demonstrates significant improvements in video fidelity and quality.

Abstract

The growing demand for high-fidelity video generation from textual descriptions has catalyzed significant research in this field. In this work, we introduce MagicVideo-V2 that integrates the text-to-image model, video motion generator, reference image embedding module and frame interpolation module into an end-to-end video generation pipeline. Benefiting from these architecture designs, MagicVideo-V2 can generate an aesthetically pleasing, high-resolution video with remarkable fidelity and smoothness. It demonstrates superior performance over leading Text-to-Video systems such as Runway, Pika 1.0, Morph, Moon Valley and Stable Video Diffusion model via user evaluation at large scale.