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Alex Carlier

@alexcarliera • 8,614 subscribers

Indie builder while full time freelancing | Prev AI research at @MetaAI, @ETH Zurich

Shorts

I'm super excited to launch @ReshotAI! It's an AI face editor, and it works so well! 🤯🔥 Starting off with Face expressions: 🤪 👀 Edit eye movement & winking 🔄 Change the head rotation & tilt 😃 Adjust the smile, mouth opening Here are more examples to see it in action ⬇️⬇️

I'm super excited to launch @ReshotAI! It's an AI face editor, and it works so well! 🤯🔥 Starting off with Face expressions: 🤪 👀 Edit eye movement & winking 🔄 Change the head rotation & tilt 😃 Adjust the smile, mouth opening Here are more examples to see it in action ⬇️⬇️

328,363 次观看

Upscale-A-Video was just released and it's so good! 🤯 It's a temporal-consistent Diffusion Model for video Super-Resolution, and has some of the best results I've ever seen, look at how sharp those lines become! More details below ⬇️⬇️

Upscale-A-Video was just released and it's so good! 🤯 It's a temporal-consistent Diffusion Model for video Super-Resolution, and has some of the best results I've ever seen, look at how sharp those lines become! More details below ⬇️⬇️

289,350 次观看

Google just revealed an ABSOLUTE depth estimation model 🤯 As opposed to recent depth models (Marigold, PatchFusion) which aim for maximum details, DMD aims to estimate the ABSOLUTE depth (in meters) within the image More details below ⬇️⬇️

Google just revealed an ABSOLUTE depth estimation model 🤯 As opposed to recent depth models (Marigold, PatchFusion) which aim for maximum details, DMD aims to estimate the ABSOLUTE depth (in meters) within the image More details below ⬇️⬇️

199,540 次观看

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 ⬇️⬇️

144,268 次观看

Gaussian Painters imported into #b3d as ellipsoids (3D Gaussian Splatting plugin for Blender - work in progress)

Gaussian Painters imported into #b3d as ellipsoids (3D Gaussian Splatting plugin for Blender - work in progress)

156,174 次观看

Wow I made some big speed improvements for @ReshotAI 🔥 The face editor now runs INSTANTLY, even for large images! 🤯 (not sped up)

Wow I made some big speed improvements for @ReshotAI 🔥 The face editor now runs INSTANTLY, even for large images! 🤯 (not sped up)

77,392 次观看

I have written a tutorial on how to train your own "3D Gaussian Splatting" models! #GaussianSplatting Write me here if you're facing any issues. ⬇️⬇️

I have written a tutorial on how to train your own "3D Gaussian Splatting" models! #GaussianSplatting Write me here if you're facing any issues. ⬇️⬇️

103,203 次观看

PatchFusion was just released. Compared to ZoeDepth, it predicts depth maps with much finer details, just look at the comparison below! 🤯 Its main contribution is a new Global-to-Local module and Consistency-Aware Training. More examples below (with code) ⬇️⬇️

PatchFusion was just released. Compared to ZoeDepth, it predicts depth maps with much finer details, just look at the comparison below! 🤯 Its main contribution is a new Global-to-Local module and Consistency-Aware Training. More examples below (with code) ⬇️⬇️

92,067 次观看

A new real-time Radiance Field paper beating 3DGS was just released! 🔥 Similarly to 3D Gaussian Splatting, TRIPS optimizes a point-cloud with color, position & size that gets splatted to the screen. But it does so using a single trilinear write in an image pyramid More info ⬇️

A new real-time Radiance Field paper beating 3DGS was just released! 🔥 Similarly to 3D Gaussian Splatting, TRIPS optimizes a point-cloud with color, position & size that gets splatted to the screen. But it does so using a single trilinear write in an image pyramid More info ⬇️

78,372 次观看

Having accurate keypoints is extremely important for many tasks in AI and 3D. Here I trained a reenactment network with Reshot AI keypoints!

Having accurate keypoints is extremely important for many tasks in AI and 3D. Here I trained a reenactment network with Reshot AI keypoints!

72,086 次观看

This new video upscaling & deblurring method (FMA-Net) works insanely well! ⬇️

This new video upscaling & deblurring method (FMA-Net) works insanely well! ⬇️

23,817 次观看

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 ⬇️⬇️

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 ⬇️⬇️

14,113 次观看

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Meta AI strikes again, with Relightable Gaussian Codec Avatars This is an update to the Meta Codec Avatars 2.0, building on 3D Gaussian Splatting. As a result, we get fully relightable real-time avatars, accurate at the hair strand level 🤯 More details below ⬇️⬇️

Meta AI strikes again, with Relightable Gaussian Codec Avatars This is an update to the Meta Codec Avatars 2.0, building on 3D Gaussian Splatting. As a result, we get fully relightable real-time avatars, accurate at the hair strand level 🤯 More details below ⬇️⬇️

445,646 次观看 • 2 年前

Another experiment with Gaussian Painters ✨🎨 By optimizing 3D Gaussian Splattings over separate images at several viewpoints, it is possible to get a Steganography effect! Three paintings are hidden in those gaussian splats

Another experiment with Gaussian Painters ✨🎨 By optimizing 3D Gaussian Splattings over separate images at several viewpoints, it is possible to get a Steganography effect! Three paintings are hidden in those gaussian splats

220,519 次观看 • 2 年前

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