
MIMO
Advanced video-to-video model by Alibaba
MIMO launched on September 26, 2024 with 208 votes, #269 of 5,281 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 2 years on.
What it does
MIMO, a generalizable model for controllable video synthesis, can Mimic anyone anywhere in complex Motions with Object interactions
This paper targets to mimicking anyone anywhere with complex motions and object interactions.
Character video synthesis aims to produce realistic videos of animatable characters within lifelike scenes. As a fundamental problem in the computer vision and graphics community, 3D works typically require multi-view captures for per-case training, which severely limits their applicability of modeling arbitrary characters in a short time. Recent 2D methods break this limitation via pre-trained diffusion models, but they struggle for pose generality and scene interaction. To this end, we propose MIMO , a novel generalizable model which can not only synthesize character videos with controllable attributes (i.e., character, motion and scene) provided by simple user inputs , but also…from menyifang.github.io
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Text-to-video model from scratch (2 brothers, 2 years, 2B params)Jan 2026 · huggingface.co · ▲158Writeup (includes good/bad sample generations): https://www.linum.ai/field-notes/launch-linum-v2 We're Sahil and Manu, two brothers who spent the last 2 years training text-to-video models from scratch. Today we're releasing them under Apache 2.0. These are 2B param models capable of generating 2-5 seconds of footage at either 360p or 720p. In terms of model size, the closest comparison is Alibaba's Wan 2.1 1.3B. From our testing, we get significantly better motion capture and aesthetics. We're not claiming to have reached the frontier. For us, this is a stepping…

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