Bowen Xue

I explore visual generation and am actively seeking Fall 2027 PhD opportunities.

[Zizhang Li @zizhang_li]

🌍 Actions that condition world models are highly heterogeneous: forces on objects, camera movements, hand motions, robot arms, each with its own meaning and structure. So today's action-conditioned world models are usually built one action type at a time, each with its own conditioning design.

We introduce UniAction, a unified action-conditioning framework: one world model driven by all of these actions, and even by mixes of them in a single generation. Trained jointly, it outperforms the action-specific experts. Great work led by amazing @BowenXue_ .

More detailed threads below👇
🧵 1/10

[lllyasviel @lvminzhang]

You can now chat with my thoughts and perspectives using this!

https://t.co/dW3dgSbNwf

[Ion Stoica @istoica05]

High-quality video generation now runs on the hardware you already own. We cannot wait to see what you can do with it!

[Chenfeng_X @Chenfeng_X]

FreeToken+VDN = FreeVideo, nice work from @HaochengXiUCB @BowenXue_ Xiaoze Fan and @Andy_ShuoYang

[Shuo Yang @Andy_ShuoYang]

FreeVideo + FreeToken will enable a fully automatic pipeline for short-drama generation: use VLMs to write prompts and design storylines, generate high-quality videos and visual assets with FreeVideo, and orchestrate the whole workflow with FreeToken. Really excited about what this can unlock for automated short-drama creation!

Huge thanks to @BowenXue_ and @HaochengXiUCB for making this happen!

[Haocheng Xi @HaochengXiUCB]

Video generation now runs right on your laptop. 🎬

Introducing FreeVideo — bringing MiniMax H3 + Video DeltaNet to the hardware you already own.

As little as 8GB VRAM + 16GB RAM. ComfyUI integration, LoRAs & custom workflows.

Code: https://t.co/sIKSsAuOGw

[Bowen Xue @BowenXue_]

@IMG_5955 完全な動画は https://t.co/UhYN47jtVf にあります。

[Bowen Xue @BowenXue_]

@denosoft @IMG_5955 これは動画の数���レームに過ぎません。完全な動画は https://t.co/UhYN47iW5H にあります。

[DailyPapers @HuggingPapers]

Tencent's WeChat Vision just released Stand-In!

A lightweight, plug-and-play framework for high-fidelity identity-preserving video generation.

It achieves state-of-the-art results with only ~1% extra parameters.

[青龍聖者 @bdsqlsz]

Tencent open source Stand-In:
a lightweight, plug-and-play framework for identity-preserving video generation.
Can be seamlessly integrated into other tasks such as subject-driven video generation, pose-controlled video generation, video stylization, and face swapping.

[Wildminder @wildmindai]

Stand-In: plug-and-play identity T2V adapter. Hits SOTA face-sim + naturalness, beats full finetunes. Drop-in for subject/non-human preservation, pose-guided (VACE), stylized vids, and face swap. LoRA-friendly. Wan2.1, Wan2.2 soon

https://t.co/PZZYZN8NFj

[AIGCLINK @aigclink]

腾讯新开源了一个轻量级、即插即用的身份保留视频生成框架：Stand-In，也支持换脸视频

生成效果人物脸部特征能很好的保留

支持非人类主体的视频生成、姿态控制视频生成、视频风格化，以及人脸替换

可以通过调整参数来控制人物的外观、动作、背景等等的视频生成效果

即插即用，可能轻松集成到现有T2V模型中

#视频生成 #AI视频 #StandIn

[Linoy Tsaban @linoy_tsaban]

Stand-In just landed on the hub 🔥
✨identity preserving video generation
✨lightweight LoRA with minimal affect on latency!
✨apache 2.0 license
plug-and-play approach, LoRA weights for Wan 2.1 available 👇

[Bowen Xue @BowenXue_]

It can also be seamlessly integrated into other tasks such as subject-driven video generation, pose-guided video generation, stylization, and face swapping.

[Bowen Xue @BowenXue_]

Excited to share our recent work at Tencent — Stand-In, a lightweight, plug-and-play framework for identity-preserving video generation.

🔗 Code: https://t.co/UhYN47jtVf
🌍 Project Page: https://t.co/DItmBG45NI
📄 Paper: https://t.co/KiWXUxMDAr

[Bowen Xue @BowenXue_]

With only ~1% additional parameters trained, Stand-In outperforms full-parameter training methods in both video quality and identity preservation.

[Bowen Xue @BowenXue_]

We introduce a conditional image branch into pre-trained video generation models, combined with restricted self-attentions enhanced by conditional position mapping, to achieve precise identity control.