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ð Synthetic Expression-Wrinkles ð
ð#Microsoft unveils a novel approach that produces realistic wrinkles across humans
ðReview https://bit.ly/3zWZLOd
ðPaper arxiv.org/pdf/2210.03529.pdf
ðProject microsoft.github.io/DynamicWrinkles
ð#Microsoft unveils a novel approach that produces realistic wrinkles across humans
ðReview https://bit.ly/3zWZLOd
ðPaper arxiv.org/pdf/2210.03529.pdf
ðProject microsoft.github.io/DynamicWrinkles
ðĨ7ðĪŊ4ð2ðą1
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ðŠī Rodin: 3D Avatars Using Diffusion ðŠī
ð#Microsoft unveils a novel #3D diffusion for digital avatars as NeRF
ðReview https://bit.ly/3jcxeOX
ðProject 3d-avatar-diffusion.microsoft.com
ðPaper arxiv.org/pdf/2212.06135.pdf
ð#Microsoft unveils a novel #3D diffusion for digital avatars as NeRF
ðReview https://bit.ly/3jcxeOX
ðProject 3d-avatar-diffusion.microsoft.com
ðPaper arxiv.org/pdf/2212.06135.pdf
âĪ9ðĪŊ4ð2ðą1
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ðĢïļ MemFace: Generative Talking Face ðĢïļ
ð#Microsoft (+SJTU) unveils MemFace: the new SOTA in talking faces generation
ðReview https://bit.ly/3k8TjhZ
ðPaper arxiv.org/pdf/2212.05005v2.pdf
ðProject memoryface.github.io/
ð#Microsoft (+SJTU) unveils MemFace: the new SOTA in talking faces generation
ðReview https://bit.ly/3k8TjhZ
ðPaper arxiv.org/pdf/2212.05005v2.pdf
ðProject memoryface.github.io/
ðĪŊ12ðĪĐ3ð1
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ðŠĐ DISCO: Human Dance Generation ðŠĐ
ðNTU (+ #Microsoft) unveils DISCO: a big step towards the Human Dance Generation.
ðReview https://t.ly/cNGX
ðPaper arxiv.org/pdf/2307.00040.pdf
ðProject disco-dance.github.io/
ðCode github.com/Wangt-CN/DisCo
ðNTU (+ #Microsoft) unveils DISCO: a big step towards the Human Dance Generation.
ðReview https://t.ly/cNGX
ðPaper arxiv.org/pdf/2307.00040.pdf
ðProject disco-dance.github.io/
ðCode github.com/Wangt-CN/DisCo
ðĨ13ðĨ°4ð2âĄ1ð1ðū1
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ð AltFreezing: new SOTA in detecting deepfake ð
ð#Microsoft unveils AltFreezing: spatial/temporal artifacts in one model for more general face forgery detection
ðReview https://t.ly/mkIKX
ðPaper https://t.ly/z4KnJ
ðCode github.com/ZhendongWang6/AltFreezing
ð#Microsoft unveils AltFreezing: spatial/temporal artifacts in one model for more general face forgery detection
ðReview https://t.ly/mkIKX
ðPaper https://t.ly/z4KnJ
ðCode github.com/ZhendongWang6/AltFreezing
ðą6ð5ð4ðĪŊ2ðĨ°1
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ð Video Understanding with GPT-4V(ision) ð
ð #Microsoft unveils MM-Vid, the most advanced video understanding framework (w/ #chatgpt4). Impressive results on long-form videos & intricate tasks such as audio description & multimodal high-level comprehension
ðReview https://t.ly/RISMm
ðPaper arxiv.org/pdf/2310.19773.pdf
ðProject https://multimodal-vid.github.io
ð #Microsoft unveils MM-Vid, the most advanced video understanding framework (w/ #chatgpt4). Impressive results on long-form videos & intricate tasks such as audio description & multimodal high-level comprehension
ðReview https://t.ly/RISMm
ðPaper arxiv.org/pdf/2310.19773.pdf
ðProject https://multimodal-vid.github.io
ðĪŊ22ð9ðĨ2ð1ðą1
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ðĨFlorence-2: unified Computer VisionðĨ
ð#Microsoft announces Florence-2: novel foundation model with unified, prompt-based, representation for a large variety of #computervision & vision-language task. One backbone -> multiple tasks!
ðReview https://t.ly/pOins
ðPaper arxiv.org/pdf/2311.06242.pdf
ðProject www.microsoft.com/en-us/research/project/projectflorence/
ð#Microsoft announces Florence-2: novel foundation model with unified, prompt-based, representation for a large variety of #computervision & vision-language task. One backbone -> multiple tasks!
ðReview https://t.ly/pOins
ðPaper arxiv.org/pdf/2311.06242.pdf
ðProject www.microsoft.com/en-us/research/project/projectflorence/
ðą9âĪ5ðĨ3ð1ð1ðū1
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ðа Dressed Humans in the wild ðа
ðETH (+ #Microsoft ) ReLoo: novel 3D-HQ reconstruction of humans dressed in loose garments from mono in-the-wild clips. No prior assumptions about the garments. Source Code announced, coming ð
ðReview https://t.ly/evgmN
ðPaper arxiv.org/pdf/2409.15269
ðProject moygcc.github.io/ReLoo/
ðCode github.com/eth-ait/ReLoo
ðETH (+ #Microsoft ) ReLoo: novel 3D-HQ reconstruction of humans dressed in loose garments from mono in-the-wild clips. No prior assumptions about the garments. Source Code announced, coming ð
ðReview https://t.ly/evgmN
ðPaper arxiv.org/pdf/2409.15269
ðProject moygcc.github.io/ReLoo/
ðCode github.com/eth-ait/ReLoo
ðĪŊ9âĪ2ð1ðĨ1
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ðĨBitNet: code of 1-bit LLM releasedðĨ
ðBitNet by #Microsoft, announced in late 2023, is a 1-bit Transformer architecture designed for LLMs. BitLinear as a drop-in replacement of the nn.Linear layer in order to train 1-bit weights from scratch. Source Code just released ð
ðReview https://t.ly/3G2LA
ðPaper arxiv.org/pdf/2310.11453
ðCode https://lnkd.in/duPADJVb
ðBitNet by #Microsoft, announced in late 2023, is a 1-bit Transformer architecture designed for LLMs. BitLinear as a drop-in replacement of the nn.Linear layer in order to train 1-bit weights from scratch. Source Code just released ð
ðReview https://t.ly/3G2LA
ðPaper arxiv.org/pdf/2310.11453
ðCode https://lnkd.in/duPADJVb
ðĨ21âĪ5ðĪŊ2ð1ðĨ°1
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ð§ŋ Look Ma, no markers ð§ŋ
ð#Microsoft unveils the first technique for marker-free, HQ reconstruction of COMPLETE human body, including eyes and tongue, without requiring any calibration, manual intervention or custom hardware. Impressive results! Repo for training & Dataset releasedð
ðReview https://t.ly/5fN0g
ðPaper arxiv.org/pdf/2410.11520
ðProject microsoft.github.io/SynthMoCap/
ðRepo github.com/microsoft/SynthMoCap
ð#Microsoft unveils the first technique for marker-free, HQ reconstruction of COMPLETE human body, including eyes and tongue, without requiring any calibration, manual intervention or custom hardware. Impressive results! Repo for training & Dataset releasedð
ðReview https://t.ly/5fN0g
ðPaper arxiv.org/pdf/2410.11520
ðProject microsoft.github.io/SynthMoCap/
ðRepo github.com/microsoft/SynthMoCap
ðĪŊ16ð10ðĨ3ðą3âĪ1ð1
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ðDAViD: Synthetic Depth-Normal-Segmentationð
ð#Microsoft's DAViD: 100% synthetic dataset/models for human Depth, Normals & Segmentation. Dataset available, models & runtime under MITð
ðReview https://t.ly/-SlO_
ðPaper https://lnkd.in/eCmMXpTg
ðProject https://lnkd.in/eurCSWkm
ðRepo https://lnkd.in/e7PWFgP2
ð#Microsoft's DAViD: 100% synthetic dataset/models for human Depth, Normals & Segmentation. Dataset available, models & runtime under MITð
ðReview https://t.ly/-SlO_
ðPaper https://lnkd.in/eCmMXpTg
ðProject https://lnkd.in/eurCSWkm
ðRepo https://lnkd.in/e7PWFgP2
ð7âĪ6ðĨ3ðĪĐ1