AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates on Deep Learning, Machine Learning, and Computer Vision (with Papers).

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/
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👽 Neural I2I with a few shoots 👽

👉#Alibaba unveils a novel portrait stylization. Limited samples (∼100) -> HD outputs

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
Calibration first, translation later
Balanced distribution to calibrate bias
Spatially semantic constraints via geometry
Source code and models soon available!

More: https://bit.ly/3IwOmHO
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🕍 En3D: Generative 3D Humans 🕍

👉#Alibaba unveils En3D: generative scheme for sculpting HQ 3D human avatars. Zero-shot 3D generative scheme capable of producing visually realistic, geometrically accurate and content-wise diverse 3D humans without relying on pre-existing 3D or 2D asset.

👉Review https://t.ly/nGmDK
👉Project menyifang.github.io/projects/En3D/index.html
👉Paper https://arxiv.org/pdf/2401.01173.pdf
👉Repo (soon?) https://github.com/menyifang/En3D
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🦘AniGS: Single Pic Animatable Avatar🦘

👉#Alibaba unveils AniGS: given a single human image as input it rebuilds a Hi-Fi 3D avatar in a canonical pose, which can be used for both photorealistic rendering & real-time animation. Source code announced, to be released💙

👉Review https://t.ly/4yfzn
👉Paper arxiv.org/pdf/2412.02684
👉Project lingtengqiu.github.io/2024/AniGS/
👉Repo github.com/aigc3d/AniGS
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🧽 Diffusion Video Inpainting 🧽

👉#Alibaba unveils a technical report about DiffuEraser, a video inpainting model based on stable diffusion, designed to fill masked regions with greater details and more coherent structures. Code & weights released under Apache💙

👉Review https://t.ly/7rEll
👉Paper arxiv.org/pdf/2501.10018
👉Project lixiaowen-xw.github.io/DiffuEraser-page/
👉Repo github.com/lixiaowen-xw/DiffuEraser
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🌼SOTA Textured 3D-Guided VTON🌼

👉#ALIBABA unveils 3DV-TON, a novel diffusion model for HQ and temporally consistent video. Generating animatable textured 3D meshes as explicit frame-level guidance, alleviating the issue of models over-focusing on appearance fidelity at the expanse of motion coherence. Code & benchmark to be released💙

👉Review https://t.ly/0tjdC
👉Paper https://lnkd.in/dFseYSXz
👉Project https://lnkd.in/djtqzrzs
👉Repo TBA
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