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π
Semantics-guided natural synthesis π
πAlibaba #AI unveils a novel semantics-guided synthesis of natural scenes
πReview https://bit.ly/4115MVJ
πPaper arxiv.org/pdf/2302.07224.pdf
πProject zju3dv.github.io/paintingnature
πAlibaba #AI unveils a novel semantics-guided synthesis of natural scenes
πReview https://bit.ly/4115MVJ
πPaper arxiv.org/pdf/2302.07224.pdf
πProject zju3dv.github.io/paintingnature
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π #NBA Mixed Reality is NUTS π
πThe premiere of the streaming app of the #NBA is totally INSANE. A mix of #AI, CG and much moreπ
πMore: https://bit.ly/3IJ3uUp
πThe premiere of the streaming app of the #NBA is totally INSANE. A mix of #AI, CG and much moreπ
πMore: https://bit.ly/3IJ3uUp
π€―10π5β€1π±1π€©1π©1
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π e-book: Understanding Deep Learning π
πFrom MIT Press, a free & fresh book for mastering the Deep Learning & #AI
πDownload https://bit.ly/3JUHMNv
πFrom MIT Press, a free & fresh book for mastering the Deep Learning & #AI
πDownload https://bit.ly/3JUHMNv
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AI with Papers - Artificial Intelligence & Deep Learning
π Drag-GAN: user-friendly image-manipulation π π Manual deforming of (real and generated) images over pose, shape, expression and layout. πReview https://bit.ly/3BFyXlR πPaper arxiv.org/pdf/2305.10973.pdf πProject vcai.mpi-inf.mpg.de/projects/DragGANβ¦
Linkedin
π₯π₯ Source Code of Drag-GAN IS OUT! | Alessandro Ferrari | 40 comments
π₯π₯ Source Code of Drag-GAN IS OUT! π₯π₯
πManual deforming of (real and generated) images over pose, shape, expression and layout. Source Code just released a few hours ago π
ππ’π π‘π₯π’π π‘ππ¬:
β Max Planck + MIT + #Google AR/VR = π€―
β Supervising handle points to moveβ¦
πManual deforming of (real and generated) images over pose, shape, expression and layout. Source Code just released a few hours ago π
ππ’π π‘π₯π’π π‘ππ¬:
β Max Planck + MIT + #Google AR/VR = π€―
β Supervising handle points to moveβ¦
π₯25π±6β€3π₯°1π€―1
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πͺ Muscles in Action with #AI πͺ
πMuscles in Action (MIA): learn to incorporate muscle activity into human motion representations
πReview https://t.ly/hUKub
πPaper arxiv.org/pdf/2212.02978.pdf
πProject musclesinaction.cs.columbia.edu
πMuscles in Action (MIA): learn to incorporate muscle activity into human motion representations
πReview https://t.ly/hUKub
πPaper arxiv.org/pdf/2212.02978.pdf
πProject musclesinaction.cs.columbia.edu
π₯7π2π2π€―1
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π Multimodal Neural Designer π
π Multimodal #AI that can generate novel fashion images conditioned on text, keypoints, and sketches
πReview https://t.ly/zVk70
πPaper arxiv.org/pdf/2304.02051.pdf
πCode github.com/aimagelab/multimodal-garment-designer
π Multimodal #AI that can generate novel fashion images conditioned on text, keypoints, and sketches
πReview https://t.ly/zVk70
πPaper arxiv.org/pdf/2304.02051.pdf
πCode github.com/aimagelab/multimodal-garment-designer
π₯°6β€4π€©3π₯2β‘1
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𧱠Generating Scenes from Touch π§±
π#AI for synthesizing images from tactile signals (and vice versa) and apply it to a number of visuo-tactile synthesis tasks
πReview https://t.ly/Gxr0L
πPaper https://arxiv.org/pdf/2309.15117.pdf
πProject https://fredfyyang.github.io/vision-from-touch
πCode https://github.com/fredfyyang/vision-from-touch
π#AI for synthesizing images from tactile signals (and vice versa) and apply it to a number of visuo-tactile synthesis tasks
πReview https://t.ly/Gxr0L
πPaper https://arxiv.org/pdf/2309.15117.pdf
πProject https://fredfyyang.github.io/vision-from-touch
πCode https://github.com/fredfyyang/vision-from-touch
π€―9π6β€1π₯1π1π±1
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π± Making LLaMA See and Draw π±
πTencent #AI planted a SEED of Vision in Large Language Model. Making LLaMA see 'n' draw stuff.
πReview https://t.ly/QiCAv
πPaper arxiv.org/pdf/2310.01218.pdf
πCode github.com/AILab-CVC/SEED
πTencent #AI planted a SEED of Vision in Large Language Model. Making LLaMA see 'n' draw stuff.
πReview https://t.ly/QiCAv
πPaper arxiv.org/pdf/2310.01218.pdf
πCode github.com/AILab-CVC/SEED
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π TextPSG: PSG from Text π
πA novel problem in #AI: Panoptic Scene Graph Generation from Purely Textual Descriptions (Caption-toPSG)
πReview https://t.ly/UXEmk
πPaper arxiv.org/pdf/2310.07056.pdf
πProject vis-www.cs.umass.edu/TextPSG
πCode github.com/chengyzhao/TextPSG
πA novel problem in #AI: Panoptic Scene Graph Generation from Purely Textual Descriptions (Caption-toPSG)
πReview https://t.ly/UXEmk
πPaper arxiv.org/pdf/2310.07056.pdf
πProject vis-www.cs.umass.edu/TextPSG
πCode github.com/chengyzhao/TextPSG
π₯9β€5π3π€©1
π¦ΉββοΈ Snap's Hyper-Realistic Human π¦ΉββοΈ
πNew diffusive #AI by Snap that generates in-the-wild human images with hyper-realism. Swipe the gallery, NUTS!π
πGallery https://t.ly/cG74X
πPaper arxiv.org/pdf/2310.08579.pdf
πProject snap-research.github.io/HyperHuman
πCode github.com/snap-research/HyperHuman
πNew diffusive #AI by Snap that generates in-the-wild human images with hyper-realism. Swipe the gallery, NUTS!π
πGallery https://t.ly/cG74X
πPaper arxiv.org/pdf/2310.08579.pdf
πProject snap-research.github.io/HyperHuman
πCode github.com/snap-research/HyperHuman
π4π₯1π€―1π±1π€©1π€£1