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Ceci n’est pas un video ↓ The playback of “Link” is handled by a custom script that sequences individual images. The scale, direction, and speed can be modified interactively. Each edition contains two image sets default (1600px) and high quality (4000px).

ertdfgcvb 𓅰 𓅬 𓅭 𓅮 𓅯

21,925 subscribers

30,146 次观看 • 1 年前 •via X (Twitter)

教育艺术科学技术

Anya Rossi• Live Now

Private livecam show

11 条评论

ertdfgcvb 𓅰 𓅬 𓅭 𓅮 𓅯 的头像

ertdfgcvb 𓅰 𓅬 𓅭 𓅮 𓅯1 年前

Realtime versions ↓

Akool Inc 的头像

Akool Inc1 年前

Looking for the best Video Translation tool? Akool outperforms Rask AI with superior translation accuracy and industry-leading lip-sync technology. Akool delivers more natural speech, precise mouth movements, and a truly lifelike experience across multiple languages. 🌍

Kerim Safa 的头像

Kerim Safa1 年前

Incredible work, Andreas.

ana 的头像

ana1 年前

ouais enfin ça ressemble bcp à une vidéo quand même

ICON1 年前

wow

verycool 的头像

verycool1 年前

These are cool

B 的头像

B1 年前

@kimasendorf Damn these are good 👏

jeru 的头像

jeru1 年前

beautiful

888bit 的头像

888bit1 年前

je t'aime! lovely work!

jonooo 的头像

jonooo1 年前

Wow, love how much texture and vibrancy there is.

Conwic 的头像

Conwic1 年前

I think I built this

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Neurolov

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Baby Doge

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Gravity-defying robot! 🦎 VertiGo is a wall-climbing robot created by Disney Research and ETH Zürich that can transition between ground and wall. The robot can move on a wall quickly and with agility. VertiGo has four wheels, two tiltable propellers, and two tiltable propellers. One pair of wheels is steerable, and each propeller has two degrees of freedom for adjusting the direction of thrust. The choice of two propellers rather than one enables a floor-to-wall transition, thrust is applied both towards the wall using the rear propeller and in an upward direction using the front propeller, resulting in a flip onto the wall. P.S. Can you guess the year of development? 👀 ~~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

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This video contains untranslated video of a foreign truck driving blowing by an Oklahoma scale but being pulled over 100 miles down the road. I have a video of this with a translated version and with his motor carrier exposed. That will be on YouTube shortly.

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The first global, city-scale 3D map is taking shape, and it’s machine-readable. City-scale environments can now be reconstructed in high-fidelity, reaching a level of detail that is becoming almost indistinguishable from reality. This leap is made possible by large-scale mapping using just an Insta360 X5 and Over the Reality technology. So far, our dataset includes: - 220,000+ 3D mapped locations - 97M images - 1,000TB of spatial data Growing by more than 10,000+ newly mapped locations every week. Enabling Visual AI, Robotics, VPS, XR, and Digital twins.

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Alfred Hitchcock explains the Kuleshov effect in cinema. The Kuleshov Effect is one of the most influential concepts in film theory, demonstrating the power of editing to create meaning and manipulate our perception. Named after Russian filmmaker and theorist Lev Kuleshov, this phenomenon underscores how the juxtaposition of images can evoke emotions, construct narratives, and shape different interpretation of a scene. The meaning of the Kuleshov Effect lies in its assertion that a shot’s significance is shaped not just by its individual content but by its context within a sequence. By juxtaposing two unrelated images, filmmakers can guide the audience’s interpretation, creating specific emotions, thoughts, or narratives through the power of editing. For instance, if an image of a neutral face is followed by a shot of food, the audience might interpret the person as feeling hungry. If the same neutral face is paired with an image of a coffin, the interpretation shifts to grief. This principle demonstrates how editing shapes the psychological impact of a film, guiding the our perception and emotional engagement.

Alfred Hitchcock explains the Kuleshov effect in cinema. The Kuleshov Effect is one of the most influential concepts in film theory, demonstrating the power of editing to create meaning and manipulate our perception. Named after Russian filmmaker and theorist Lev Kuleshov, this phenomenon underscores how the juxtaposition of images can evoke emotions, construct narratives, and shape different interpretation of a scene. The meaning of the Kuleshov Effect lies in its assertion that a shot’s significance is shaped not just by its individual content but by its context within a sequence. By juxtaposing two unrelated images, filmmakers can guide the audience’s interpretation, creating specific emotions, thoughts, or narratives through the power of editing. For instance, if an image of a neutral face is followed by a shot of food, the audience might interpret the person as feeling hungry. If the same neutral face is paired with an image of a coffin, the interpretation shifts to grief. This principle demonstrates how editing shapes the psychological impact of a film, guiding the our perception and emotional engagement.

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TokenFlow: Consistent Diffusion Features for Consistent Video Editing paper page: The generative AI revolution has recently expanded to videos. Nevertheless, current state-of-the-art video models are still lagging behind image models in terms of visual quality and user control over the generated content. In this work, we present a framework that harnesses the power of a text-to-image diffusion model for the task of text-driven video editing. Specifically, given a source video and a target text-prompt, our method generates a high-quality video that adheres to the target text, while preserving the spatial layout and motion of the input video. Our method is based on a key observation that consistency in the edited video can be obtained by enforcing consistency in the diffusion feature space. We achieve this by explicitly propagating diffusion features based on inter-frame correspondences, readily available in the model. Thus, our framework does not require any training or fine-tuning, and can work in conjunction with any off-the-shelf text-to-image editing method. We demonstrate state-of-the-art editing results on a variety of real-world videos.

AK

143,469 次观看 • 3 年前