🧙Distortion-Aware Neural Selection 🧙

👉#Adobe unveils a novel method for interactive workflows used for decaling, texturing, or painting on surfaces

😎Review https://bit.ly/3uSou3b
😎Project threedle.github.io/DA-Wand
😎Paper https://drive.google.com/file/d/1OkGwIPQb9RUeT5aw-X_tdBAPG0bB4dNQ/view

👛 New Task in #AI: Domain Expansion 👛

👉#Adobe on augmenting the space a model can generate, without overriding its original behavior

😎Review https://bit.ly/3ZCtwPA
😎Paper arxiv.org/pdf/2301.05225.pdf
😎Project yotamnitzan.github.io/domain-expansion
😎Code github.com/adobe-research/domain-expansion

🪲Neural 4K Color Style Transfer🪲

👉#Adobe 4K color style transfer: no artifacts, low memory & super-speed!

😎Review https://bit.ly/3TNKtUE
😎Paper arxiv.org/pdf/2303.13511.pdf
😎Project zhkkke.github.io/NeuralPreset
😎Code github.com/ZHKKKe/NeuralPreset
😎Demo zhkkke.github.io/NeuralPreset/#/editor

🏗️ #Adobe Instant TurboEdit 🏗️

👉Adobe unveils a novel real-time text-based disentangled real image editing method built upon 4-step SDXL Turbo. SOTA HQ image editing using ultra fast few-step diffusion. No code announced but easy to guess it will be released in commercial tools.

👉Review https://t.ly/Na7-y
👉Paper https://lnkd.in/dVs9RcCK
👉Project https://lnkd.in/dGCqwh9Z
👉Code 😢

💃 Video Motion Graphs 💃

👉#Adobe unveils a novel system designed to generate realistic human motion videos. Using a reference video and conditional signals such as music or motion tags, the system synthesizes amazing new videos. Code & Models to be released💙

👉Review https://t.ly/r4EGF
👉Paper https://lnkd.in/dK_tHyzh
👉Project https://lnkd.in/dE6c_KYZ
👉Repo TBA

🍄 4D Mocap Human-Object 🍄

👉#Adobe unveils HUMOTO, HQ dataset of human-object interactions for motion generation, computer vision, and robotics: 700+ sequences (7,875 seconds @ 30FPS), interactions with 63 precisely modeled objects and 72 articulated parts

👉Review https://t.ly/lCof3
👉Paper https://lnkd.in/dVVBDd_c
👉Project https://lnkd.in/dwBcseDf