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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 ⬇️⬇️

Alex Carlier

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14,113 次观看 • 1 年前 •via X (Twitter)

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

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

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

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

Barsee 🐶

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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 ⬇️⬇️

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 次观看 • 2 年前

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.

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.

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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.

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

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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)

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Justine Moore

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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

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Min Choi

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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.

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

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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 👇

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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⬇️⬇️

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⬇️⬇️

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