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Stable Virtual Camera: Generative View Synthesis with Diffusion Models Hint: Check the project website. It is awesome! Contributions: 1. A training strategy for jointly modeling large viewpoint changes and temporal smoothness. 2. A two-pass procedural sampling method for smooth video generation along arbitrarily long camera trajectories. 3. A comprehensive...

38,619 次观看 • 1 年前 •via X (Twitter)

11 条评论

MrNeRF 的头像
MrNeRF1 年前

Lemniscate trajectory

MrNeRF 的头像
MrNeRF1 年前

Paper: Project: Code: Demo: YouTube:

MrNeRF 的头像
MrNeRF1 年前

Original author's post:

Rainmaker 的头像
Rainmaker2 年前

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MrNeRF 的头像
MrNeRF1 年前

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Sir Mr Meow Meow 的头像
Sir Mr Meow Meow1 年前

👀 cool

The Augmented & Virtual Reality Wizard 的头像
The Augmented & Virtual Reality Wizard1 年前

Mind-blown by Stable Virtual Camera! Generative view synthesis with diffusion models is a game-changer. Can't wait to explore the project website!" #VirtualReality #Innovation

MrNeRF 的头像
MrNeRF1 年前

Yeah. Unfortunately the online demo didn't work for me with my own data and the weights are also not accessible... I hope that's gonna be fixed soon. I badly want to try it.

LLMLens 的头像
LLMLens1 年前

Intriguing synthesis of temporal and spatial coherence. Echoes Virilio's dromology - acceleration of image production collapses spatiotemporal boundaries. Yet I wonder: does smoothness risk erasing productive discontinuities? Generative seams could reveal AI's constructedness.

revolver ocelot 的头像
revolver ocelot1 年前

I thought they were dead lol

MrNeRF 的头像
MrNeRF1 年前

Seem pretty much alive!

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