Загрузка видео...

Не удалось загрузить видео

На главную

Replace a person from a video with any character using a single picture 🤯 This new paper from Alibaba is called MIMO: Controllable Character Video Synthesis withSpatial Decomposed Modeling More below ⬇️⬇️

alexcarliera's profile picture

Alex Carlier

8,616 subscribers

14,113 просмотров • 1 год назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

This is wild. Hailuo AI just completely changed the character consistency game with "Subject Reference" Just from a single image🤯 10 wild examples:
0:11

This is wild. Hailuo AI just completely changed the character consistency game with "Subject Reference" Just from a single image🤯 10 wild examples:

Min Choi

448,376 просмотров • 1 год назад

This is insane. Real-time face conversion is here 🤯 I no longer trust any video I see. More below ⬇️
0:14

This is insane. Real-time face conversion is here 🤯 I no longer trust any video I see. More below ⬇️

Barsee 🐶

573,016 просмотров • 2 лет назад

This is literally magic 🤯 FMA-Net is a new AI method for video deblurring! It uses complex motion representation learning for spatio-temporally-variant restoration with kernels that are aware of motion trajectories. More info below ⬇️⬇️
0:19

This is literally magic 🤯 FMA-Net is a new AI method for video deblurring! It uses complex motion representation learning for spatio-temporally-variant restoration with kernels that are aware of motion trajectories. More info below ⬇️⬇️

Alex Carlier

144,268 просмотров • 2 лет назад

Depth video workflows have been getting a lot of attention lately, so I tested one myself. Combined with Seedance 2.0, it produced more natural motion-transfer results than using Kling Motion Control directly. Why use a depth video? 1. It removes the original character and scene details, reducing copyright and sensitive-content risks. 2. It preserves the original motion, timing, and spatial structure. This separates motion extraction from visual generation, allowing you to recreate the movement with better models and any reference character. We’ve also launched a free online tool that converts regular videos into depth videos—no local setup required: In the example below, we converted a dance video from Douyin into a depth video, then regenerated it with a reference character using Seedance 2.0. The original choreography and timing are preserved, while the lighting adapts naturally to the new character and scene.
0:14

Depth video workflows have been getting a lot of attention lately, so I tested one myself. Combined with Seedance 2.0, it produced more natural motion-transfer results than using Kling Motion Control directly. Why use a depth video? 1. It removes the original character and scene details, reducing copyright and sensitive-content risks. 2. It preserves the original motion, timing, and spatial structure. This separates motion extraction from visual generation, allowing you to recreate the movement with better models and any reference character. We’ve also launched a free online tool that converts regular videos into depth videos—no local setup required: In the example below, we converted a dance video from Douyin into a depth video, then regenerated it with a reference character using Seedance 2.0. The original choreography and timing are preserved, while the lighting adapts naturally to the new character and scene.

underwood

15,968 просмотров • 14 дней назад

DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.
0:18

DimensionX: Create Any 3D and 4D Scenes from a Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.

MrNeRF

17,062 просмотров • 1 год назад

A single video of an actor is used to animate a generated character. (5/7)
0:19

A single video of an actor is used to animate a generated character. (5/7)

Runway

41,511 просмотров • 1 год назад

We have multi-character pose transfer now 👀 This is a new model implementation called SCAIL from Zhipu AI. Excited to try it out - this example is from a user who ran it locally. (from u/Better-Interview-793)
0:16

We have multi-character pose transfer now 👀 This is a new model implementation called SCAIL from Zhipu AI. Excited to try it out - this example is from a user who ran it locally. (from u/Better-Interview-793)

Justine Moore

50,569 просмотров • 7 месяцев назад

China's Alibaba just announced Animate Anyone 2. This AI can take any single image of a character and animates it with realistic motion seamless to its environment. 10 wild examples: 1. Human Interaction
0:11

China's Alibaba just announced Animate Anyone 2. This AI can take any single image of a character and animates it with realistic motion seamless to its environment. 10 wild examples: 1. Human Interaction

Min Choi

1,017,517 просмотров • 1 год назад

Hedra's new "Character 3" audio 2 video system is utterly mind blowing to me. Video below was generated with a single image + an audio file (no prompt - I left it blank). If you can't see the potential of this - no hope for you.
0:18

Hedra's new "Character 3" audio 2 video system is utterly mind blowing to me. Video below was generated with a single image + an audio file (no prompt - I left it blank). If you can't see the potential of this - no hope for you.

A.I.Warper

113,116 просмотров • 1 год назад

This is actually ridiculous 🤯 Seedance 2.0 turned my character sheet into a fully animated sequence while preserving every camera move workflow ⬇️
0:10

This is actually ridiculous 🤯 Seedance 2.0 turned my character sheet into a fully animated sequence while preserving every camera move workflow ⬇️

Kiki

26,906 просмотров • 1 месяц назад

🌟Using this New Feature, you can even easily replace the Material Texture of your Character, giving each livestream a brand new look!🎨 Unleash your Creativity with #Warudo !😉
0:15

🌟Using this New Feature, you can even easily replace the Material Texture of your Character, giving each livestream a brand new look!🎨 Unleash your Creativity with #Warudo !😉

Warudo @ Hakuya Labs

32,318 просмотров • 1 год назад

Grok Imagine's new video tools just hit Replicate! Extend your clips with seamless audio using Video Extension, or build a full scene from 7 images with Reference to Video. See below for more examples 👇
0:11

Grok Imagine's new video tools just hit Replicate! Extend your clips with seamless audio using Video Extension, or build a full scene from 7 images with Reference to Video. See below for more examples 👇

Replicate

17,159 просмотров • 4 месяцев назад

DreamActor M2.0 just dropped on Replicate Animate any character, humans, cartoons, animals, even non-humans, from a single image + driving video. No pose estimation needed. Killer results on multiples too!
0:11

DreamActor M2.0 just dropped on Replicate Animate any character, humans, cartoons, animals, even non-humans, from a single image + driving video. No pose estimation needed. Killer results on multiples too!

Replicate

17,499 просмотров • 6 месяцев назад

GPT Image 2 + Seedance 2.0 - Prompt Share Created on @MartiniArt_ Workflow: Create a character with Midjourney. Turn that character to stylized 3d with GPT Image 2. Create a storyboard with that character sheet. Create the final video using both character sheet and storyboard references.
0:15

GPT Image 2 + Seedance 2.0 - Prompt Share Created on @MartiniArt_ Workflow: Create a character with Midjourney. Turn that character to stylized 3d with GPT Image 2. Create a storyboard with that character sheet. Create the final video using both character sheet and storyboard references.

Kōda

34,542 просмотров • 2 месяцев назад

kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale
0:11

kling 2.6 motion control is actually insane for AI ads you can swap any person in a video with a different person and it looks completely realistic, and its way better than wan 2.2 this unlocks massive testing potential for ads you can test the same ad concept across multiple different ICPs instantly here's the workflow: >generate your new character with nano banana pro >use kling 2.6 motion control to replace the person in your existing video generate a new voice with >elevenlabs to match the character you can take one winning ad and instantly create 10 variations targeting: -different age groups -different genders -different ethnicities -different aesthetics this is the future of ad testing at scale

Miko

29,467 просмотров • 7 месяцев назад

🔥 We just shipped a full end-to-end character animation platform 🔥 Here's the full rundown: AI Auto-Rig your character meshes. Text-Generate new characters from your brain with our Luma Genie integration. Store your characters for easy access. Apply 1,000+ animations from our library to your characters. Upload and visualize your own motion data from any motion capture source Use your MoCap data on any character in any 3D program All on HEAT More below 👇
0:18

🔥 We just shipped a full end-to-end character animation platform 🔥 Here's the full rundown: AI Auto-Rig your character meshes. Text-Generate new characters from your brain with our Luma Genie integration. Store your characters for easy access. Apply 1,000+ animations from our library to your characters. Upload and visualize your own motion data from any motion capture source Use your MoCap data on any character in any 3D program All on HEAT More below 👇

HEAT

24,954 просмотров • 2 лет назад

My first test with Mimimax H3 - Early Access One character. Four careers. Zero breaks in consistency. Built this cinematic transformation with MiniMax H3 on Hailuo AI (MiniMax) using Omni Reference, keeping the same character perfectly consistent as she seamlessly transforms from a CEO to a runway model, an astronaut, and finally a professional racing driver. The character consistency, seamless outfit changes, and cinematic transitions feel incredibly polished more like a film sequence than a typical AI video. #MiniMaxH3
0:15

My first test with Mimimax H3 - Early Access One character. Four careers. Zero breaks in consistency. Built this cinematic transformation with MiniMax H3 on Hailuo AI (MiniMax) using Omni Reference, keeping the same character perfectly consistent as she seamlessly transforms from a CEO to a runway model, an astronaut, and finally a professional racing driver. The character consistency, seamless outfit changes, and cinematic transitions feel incredibly polished more like a film sequence than a typical AI video. #MiniMaxH3

Smiling Khan

16,148 просмотров • 16 дней назад

herta is actually such a standout character from this game omg
0:10

herta is actually such a standout character from this game omg

.

749,472 просмотров • 9 месяцев назад

This is the greatest character ever made in a video game
0:19

This is the greatest character ever made in a video game

Johann

14,574 просмотров • 10 месяцев назад

hey guys i need some help. this is my biggest insecurity so please be kind. first clip is from the morning, second is from nighttime. i’ve had a severe bloating problem for a long time. more info down below⬇️⬇️
0:13

hey guys i need some help. this is my biggest insecurity so please be kind. first clip is from the morning, second is from nighttime. i’ve had a severe bloating problem for a long time. more info down below⬇️⬇️

Griffin!🌸 🔜 Offkai

17,962 просмотров • 4 месяцев назад