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Oh, I love this one! FlipSketch can generate sketch animations from static drawings using text prompts! Links โฌ‡๏ธ

33,368 Aufrufe โ€ข vor 1 Jahr โ€ขvia X (Twitter)

10 Kommentare

Profilbild von Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘
Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘vor 1 Jahr

Project Page: Code (coming soon): Get notified on release:

Profilbild von Hmrishav
Hmrishavvor 1 Jahr

Thank you for covering this! We have released the code :)

Profilbild von Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘
Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘vor 1 Jahr

You dropped this ๐Ÿ‘‘

Profilbild von John Schoenith
John Schoenithvor 1 Jahr

Need this for a project that Iโ€™m working on today. Thanks

Profilbild von Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘
Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘vor 1 Jahr

Enjoy! Code just got published ๐Ÿฅณ

Profilbild von EyeSeeThru ๐Ÿ‘๏ธ
EyeSeeThru ๐Ÿ‘๏ธvor 1 Jahr

me too!

Profilbild von Bjorn
Bjornvor 1 Jahr

Oh thatโ€™s cool!

Profilbild von aymiee
aymieevor 1 Jahr

Very cool!

Profilbild von Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘
Dreaming Tulpa ๐Ÿฅ“๐Ÿ‘‘vor 1 Jahr

Very cool indeed :)

Profilbild von Vincent Valentine (CEO of UnOpen.ai)
Vincent Valentine (CEO of UnOpen.ai)vor 1 Jahr

@mreflow That sounds like a fascinating tool.

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Multi-Track Timeline Control for Text-Driven 3D Human Motion Generation paper page: Recent advances in generative modeling have led to promising progress on synthesizing 3D human motion from text, with methods that can generate character animations from short prompts and specified durations. However, using a single text prompt as input lacks the fine-grained control needed by animators, such as composing multiple actions and defining precise durations for parts of the motion. To address this, we introduce the new problem of timeline control for text-driven motion synthesis, which provides an intuitive, yet fine-grained, input interface for users. Instead of a single prompt, users can specify a multi-track timeline of multiple prompts organized in temporal intervals that may overlap. This enables specifying the exact timings of each action and composing multiple actions in sequence or at overlapping intervals. To generate composite animations from a multi-track timeline, we propose a new test-time denoising method. This method can be integrated with any pre-trained motion diffusion model to synthesize realistic motions that accurately reflect the timeline. At every step of denoising, our method processes each timeline interval (text prompt) individually, subsequently aggregating the predictions with consideration for the specific body parts engaged in each action. Experimental comparisons and ablations validate that our method produces realistic motions that respect the semantics and timing of given text prompts.

AK

126,585 Aufrufe โ€ข vor 2 Jahren