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๐ฅ EVA3D: new SOTA in #3D humans ๐ฅ
๐EVA3D: new SOTA for unconditional NeRF-human generation from 2D only
๐Review https://bit.ly/3Th9qX7
๐Code github.com/hongfz16/EVA3D
๐Paper arxiv.org/pdf/2210.04888.pdf
๐Project hongfz16.github.io/projects/EVA3D.html
๐EVA3D: new SOTA for unconditional NeRF-human generation from 2D only
๐Review https://bit.ly/3Th9qX7
๐Code github.com/hongfz16/EVA3D
๐Paper arxiv.org/pdf/2210.04888.pdf
๐Project hongfz16.github.io/projects/EVA3D.html
๐ฅ14๐2
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๐ f-DM: Diffusion Models by Apple ๐
๐Spectacular work by #Apple on DMs: HQ generation with better efficiency and semantic
๐Review https://bit.ly/3Tils2u
๐Project https://jiataogu.me/fdm/
๐Paper arxiv.org/pdf/2210.04955.pdf
๐Spectacular work by #Apple on DMs: HQ generation with better efficiency and semantic
๐Review https://bit.ly/3Tils2u
๐Project https://jiataogu.me/fdm/
๐Paper arxiv.org/pdf/2210.04955.pdf
โค10๐ฑ2๐1
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๐
GENIE by #Nvidia -> Faster Generation๐
๐Higher-Order Denoising Diffusion Solvers for faster and better synthesis
๐Review https://bit.ly/3CRjtwr
๐Project nv-tlabs.github.io/GENIE/
๐Paper arxiv.org/pdf/2210.05475.pdf
๐Code github.com/nv-tlabs/GENIE
๐Higher-Order Denoising Diffusion Solvers for faster and better synthesis
๐Review https://bit.ly/3CRjtwr
๐Project nv-tlabs.github.io/GENIE/
๐Paper arxiv.org/pdf/2210.05475.pdf
๐Code github.com/nv-tlabs/GENIE
๐ฅ10๐4
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๐ฅฌ "Perception Test" by #DeepMind ๐ฅฌ
๐Huge dataset with obj & point tracks, temporal sounds, multiple & grounded vQA
๐Review https://bit.ly/3Vqh96Q
๐Dataset github.com/deepmind/perception_test
๐Project www.deepmind.com/blog/measuring-perception-in-ai-models
๐Huge dataset with obj & point tracks, temporal sounds, multiple & grounded vQA
๐Review https://bit.ly/3Vqh96Q
๐Dataset github.com/deepmind/perception_test
๐Project www.deepmind.com/blog/measuring-perception-in-ai-models
๐15๐ฅ4๐ฑ3
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๐ฅ Matterport 3D Semantics Dataset ๐ฅ
๐#Meta opens HM3DSEM, the largest #3D real-world dataset with dense semantic
๐Review https://bit.ly/3yF4W4G
๐Paper arxiv.org/pdf/2210.05633.pdf
๐Project aihabitat.org/datasets/hm3d-semantics
๐Data github.com/matterport/habitat-matterport-3dresearch
๐#Meta opens HM3DSEM, the largest #3D real-world dataset with dense semantic
๐Review https://bit.ly/3yF4W4G
๐Paper arxiv.org/pdf/2210.05633.pdf
๐Project aihabitat.org/datasets/hm3d-semantics
๐Data github.com/matterport/habitat-matterport-3dresearch
๐13
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๐ฆ Instant Map-free Relocalization ๐ฆ
๐#Niantic unveils a novel instant, metric scaled re-localization with one single photo
๐Review https://bit.ly/3S1Gdyh
๐Paper arxiv.org/pdf/2210.05494.pdf
๐Project research.nianticlabs.com/mapfree-reloc-benchmark
๐Data research.nianticlabs.com/mapfree-reloc-benchmark/dataset
๐#Niantic unveils a novel instant, metric scaled re-localization with one single photo
๐Review https://bit.ly/3S1Gdyh
๐Paper arxiv.org/pdf/2210.05494.pdf
๐Project research.nianticlabs.com/mapfree-reloc-benchmark
๐Data research.nianticlabs.com/mapfree-reloc-benchmark/dataset
๐ฅ13๐2
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๐งฎ Novel DM for 3D Shapes by #Nvidia ๐งฎ
๐Hierarchical Latent Point Diffusion Model (LION) for 3D shape generation
๐Review https://bit.ly/3yDhZ6I
๐Paper arxiv.org/pdf/2210.06978.pdf
๐Project https://nv-tlabs.github.io/LION/
๐Code(soon) github.com/nv-tlabs/LION
๐Hierarchical Latent Point Diffusion Model (LION) for 3D shape generation
๐Review https://bit.ly/3yDhZ6I
๐Paper arxiv.org/pdf/2210.06978.pdf
๐Project https://nv-tlabs.github.io/LION/
๐Code(soon) github.com/nv-tlabs/LION
โค11๐ฑ2๐ฅ1
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๐ชฒ#6D estimation fully in the wild๐ชฒ
๐First ever self-supervised 6D pose estimation training in the wild
๐Review https://bit.ly/3yHdHuS
๐Paper arxiv.org/pdf/2210.07199.pdf
๐Project kywind.github.io/self-pose
๐Code (soon)
๐First ever self-supervised 6D pose estimation training in the wild
๐Review https://bit.ly/3yHdHuS
๐Paper arxiv.org/pdf/2210.07199.pdf
๐Project kywind.github.io/self-pose
๐Code (soon)
๐15๐คฏ8๐ฑ4
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โฝ Stable Diffusion in #Blender โฝ
๐Render with SuperPowers: novel scene render via text prompt
๐Review https://bit.ly/3s1mEeN
๐Code github.com/benrugg/AI-Render
๐Render with SuperPowers: novel scene render via text prompt
๐Review https://bit.ly/3s1mEeN
๐Code github.com/benrugg/AI-Render
๐คฏ8๐5โค2
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โฝMarkerless Body-Object Interactionโฝ
๐Novel whole-bodies/objects interaction method from multi-view RGB-D data
๐Review https://bit.ly/3yO56GY
๐Data intercap.is.tue.mpg.de/login.php
๐Project https://intercap.is.tue.mpg.de
๐Code github.com/YinghaoHuang91
๐Paper intercap.is.tue.mpg.de/media/upload/main.pdf
๐Novel whole-bodies/objects interaction method from multi-view RGB-D data
๐Review https://bit.ly/3yO56GY
๐Data intercap.is.tue.mpg.de/login.php
๐Project https://intercap.is.tue.mpg.de
๐Code github.com/YinghaoHuang91
๐Paper intercap.is.tue.mpg.de/media/upload/main.pdf
๐ฅ6๐2๐พ1
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๐ฅ Dressing Avatars by #META ๐ฅ
๐Novel deep photorealistic appearance method for physically-simulated clothing in #metaverse
๐Review https://bit.ly/3yRBW9Y
๐Paper arxiv.org/pdf/2206.15470.pdf
๐Novel deep photorealistic appearance method for physically-simulated clothing in #metaverse
๐Review https://bit.ly/3yRBW9Y
๐Paper arxiv.org/pdf/2206.15470.pdf
๐คฏ7๐5๐พ2โค1
AI with Papers - Artificial Intelligence & Deep Learning
๐ท๐ทOMNI3D: #3D Objects in the Wild๐ท๐ท ๐#3D detection: 234k images, 3M+ instances & 97 categories ๐๐ข๐ ๐ก๐ฅ๐ข๐ ๐ก๐ญ๐ฌ: โ
OMNI3D from publicly released dataset โ
234k pics, 3M+ annotation with 3D box โ
97 categories such as sofa, table, cars โ
Fast (450x) and exact algorithmโฆ
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๐ฅMeta Omni3D: code is out!๐ฅ
๐Source Code, models, and data just released by #META !
๐Review https://bit.ly/3MIWxD9
๐Paper arxiv.org/pdf/2207.10660.pdf
๐Project garrickbrazil.com/omni3d/
๐Code github.com/facebookresearch/omni3d
๐Source Code, models, and data just released by #META !
๐Review https://bit.ly/3MIWxD9
๐Paper arxiv.org/pdf/2207.10660.pdf
๐Project garrickbrazil.com/omni3d/
๐Code github.com/facebookresearch/omni3d
๐ฅ14๐2๐1
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๐ช Parallel NeRF for 6-DoF pose ๐ช
๐#Nvidia unveils a parallel NeRF for 6-DoF target pose estimation
๐Review https://bit.ly/3guWWwA
๐Paper arxiv.org/pdf/2210.10108.pdf
๐Project https://pnerfp.github.io/
๐#Nvidia unveils a parallel NeRF for 6-DoF target pose estimation
๐Review https://bit.ly/3guWWwA
๐Paper arxiv.org/pdf/2210.10108.pdf
๐Project https://pnerfp.github.io/
๐8๐ฅ3
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๐ฆLaMAR: Localization/Mapping for #AR๐ฆ
๐A new benchmark for #AR in large and unconstrained scenes
๐Review https://bit.ly/3DjlnWU
๐Paper lamar.ethz.ch/files/LaMAR.pdf
๐Project https://lamar.ethz.ch/
๐Code github.com/microsoft/lamar-benchmark
๐A new benchmark for #AR in large and unconstrained scenes
๐Review https://bit.ly/3DjlnWU
๐Paper lamar.ethz.ch/files/LaMAR.pdf
๐Project https://lamar.ethz.ch/
๐Code github.com/microsoft/lamar-benchmark
๐7๐ฅ4๐ฏ4
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๐ฅNew SOTA in Panoptic Segmentation๐ฅ
๐#Google (with Hinton๐คฏ) unveils Pix2Seq-D: novel generalist framework for panoptic segmentation
๐Review https://bit.ly/3DmpbGM
๐Paper arxiv.org/pdf/2210.06366.pdf
๐#Google (with Hinton๐คฏ) unveils Pix2Seq-D: novel generalist framework for panoptic segmentation
๐Review https://bit.ly/3DmpbGM
๐Paper arxiv.org/pdf/2210.06366.pdf
๐ฅ9๐5๐คฏ3
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๐จ UniColor: Unified Colorization ๐จ
๐The first unified framework for colorization via stroke, exemplar, text, and a mix of them
๐Review https://bit.ly/3gESR9y
๐Paper arxiv.org/pdf/2209.11223.pdf
๐Project luckyhzt.github.io/unicolor
๐Code (SOON)
๐The first unified framework for colorization via stroke, exemplar, text, and a mix of them
๐Review https://bit.ly/3gESR9y
๐Paper arxiv.org/pdf/2209.11223.pdf
๐Project luckyhzt.github.io/unicolor
๐Code (SOON)
๐คฏ18๐ฅ6๐1
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๐คฏ Full-Body from head/hand signals ๐คฏ
๐#Meta unveils AvatarPoser: first full-body pose method via userโs head/hands
๐Review https://bit.ly/3gESR9y
๐Paper arxiv.org/pdf/2207.13784.pdf
๐Code github.com/eth-siplab/AvatarPoser
๐#Meta unveils AvatarPoser: first full-body pose method via userโs head/hands
๐Review https://bit.ly/3gESR9y
๐Paper arxiv.org/pdf/2207.13784.pdf
๐Code github.com/eth-siplab/AvatarPoser
๐9๐3โค1
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๐คJRBD: Egocentric Perception of Humans๐ค
๐Stanford -> JRDB-Pose: Dataset with 600,000+ body pose annotations!
๐Review https://bit.ly/3gEZBE4
๐Paper arxiv.org/pdf/1910.11792.pdf
๐Project jrdb.erc.monash.edu/
๐Stanford -> JRDB-Pose: Dataset with 600,000+ body pose annotations!
๐Review https://bit.ly/3gEZBE4
๐Paper arxiv.org/pdf/1910.11792.pdf
๐Project jrdb.erc.monash.edu/
๐8๐ฏ4
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โ๏ธSOTA Action Detector @90+ FPS!โ๏ธ
๐YOWO-plus: real-time method for spatio-temporal action detection. YOWO-Nano the fastest!
๐Review https://bit.ly/3TUdhcI
๐Paper arxiv.org/pdf/2210.11219.pdf
๐Code github.com/yjh0410/PyTorch_YOWO
๐YOWO-plus: real-time method for spatio-temporal action detection. YOWO-Nano the fastest!
๐Review https://bit.ly/3TUdhcI
๐Paper arxiv.org/pdf/2210.11219.pdf
๐Code github.com/yjh0410/PyTorch_YOWO
๐13๐ฅฐ2
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๐๏ธ๐๏ธAutoregressive NeRF-Avatar๐๏ธ๐๏ธ
๐AutoAvatar by #Meta: autoregressive method for modeling dynamically deforming human bodies from raw scans
๐Review https://bit.ly/3W0oTgo
๐Paper arxiv.org/pdf/2203.13817.pdf
๐Project zqbai-jeremy.github.io/autoavatar
๐Code github.com/facebookresearch/AutoAvatar
๐AutoAvatar by #Meta: autoregressive method for modeling dynamically deforming human bodies from raw scans
๐Review https://bit.ly/3W0oTgo
๐Paper arxiv.org/pdf/2203.13817.pdf
๐Project zqbai-jeremy.github.io/autoavatar
๐Code github.com/facebookresearch/AutoAvatar
๐11๐ฅ2๐พ1