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π In-N-Out: 3D-aware OOD video editing π
πNovel 3D-aware video editing able to manipulate OOD objects (e.g. heavy makeup, accessories)
πReview https://bit.ly/3jN0CMu
πPaper arxiv.org/pdf/2302.04871.pdf
πProject https://in-n-out-3d.github.io
πNovel 3D-aware video editing able to manipulate OOD objects (e.g. heavy makeup, accessories)
πReview https://bit.ly/3jN0CMu
πPaper arxiv.org/pdf/2302.04871.pdf
πProject https://in-n-out-3d.github.io
π₯4β€2π€―2π1
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π₯Έ MEGANE: Generative Morphable Eyeglass π₯Έ
π#META unveils the most advanced #3D compositional morphable AI for eyeglasses (HD geometry/photometric interaction)
πReview https://bit.ly/3jOWifu
πPaper arxiv.org/pdf/2302.04868.pdf
πProject junxuan-li.github.io/megane
π#META unveils the most advanced #3D compositional morphable AI for eyeglasses (HD geometry/photometric interaction)
πReview https://bit.ly/3jOWifu
πPaper arxiv.org/pdf/2302.04868.pdf
πProject junxuan-li.github.io/megane
π₯9π€―3π2π€©1
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π 3D-aware Blending with NeRF π
πNovel 3D-aware blending method via generative NeRFs
πReview https://bit.ly/3lBEJA2
πPaper arxiv.org/pdf/2302.06608.pdf
πProject blandocs.github.io/blendnerf
πCode github.com/naver-ai/BlendNeRF
πNovel 3D-aware blending method via generative NeRFs
πReview https://bit.ly/3lBEJA2
πPaper arxiv.org/pdf/2302.06608.pdf
πProject blandocs.github.io/blendnerf
πCode github.com/naver-ai/BlendNeRF
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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
π5π₯1π€―1
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π¦ SOTA ALERT: YOWOv2 is out! π¦
π The 2nd-gen of YOWO, real-time detection of spatio-temporal actions
πReview https://bit.ly/3IscY60
πPaper arxiv.org/pdf/2302.06848v1.pdf
πCode github.com/yjh0410/YOWOv2
π The 2nd-gen of YOWO, real-time detection of spatio-temporal actions
πReview https://bit.ly/3IscY60
πPaper arxiv.org/pdf/2302.06848v1.pdf
πCode github.com/yjh0410/YOWOv2
π₯17π2
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π¬ DIVOTrack: crossview MOT dataset π¬
π DIVOTrack + CrossMOT: the ultimate solution for MOT in realistic scenario
πReview https://bit.ly/3YSFZgL
πPaper arxiv.org/pdf/2302.07676.pdf
πCode github.com/shengyuhao/DIVOTrack
π DIVOTrack + CrossMOT: the ultimate solution for MOT in realistic scenario
πReview https://bit.ly/3YSFZgL
πPaper arxiv.org/pdf/2302.07676.pdf
πCode github.com/shengyuhao/DIVOTrack
π₯6π2π€―1
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𦩠One-Shot Face via LSs of StyleGAN2 π¦©
π Novel video generation framework with edits, facial motions, deformations & identity
πReview https://bit.ly/3xuChhF
πPaper arxiv.org/pdf/2302.07848.pdf
πProject trevineoorloff.github.io/FaceVideoReenactment_HybridLatents.io/
π Novel video generation framework with edits, facial motions, deformations & identity
πReview https://bit.ly/3xuChhF
πPaper arxiv.org/pdf/2302.07848.pdf
πProject trevineoorloff.github.io/FaceVideoReenactment_HybridLatents.io/
π€―3π±2β‘1π1
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πΆοΈ 3D-aware conditional generative AI πΆοΈ
π Pix2Pix3D: 3D-aware conditional generative AI for controllable photorealistic synthesis
πReview https://bit.ly/3I80MWS
πPaper arxiv.org/pdf/2302.08509.pdf
πProject www.cs.cmu.edu/~pix2pix3D
πCode github.com/dunbar12138/pix2pix3D
π Pix2Pix3D: 3D-aware conditional generative AI for controllable photorealistic synthesis
πReview https://bit.ly/3I80MWS
πPaper arxiv.org/pdf/2302.08509.pdf
πProject www.cs.cmu.edu/~pix2pix3D
πCode github.com/dunbar12138/pix2pix3D
π₯4π2β‘1
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π‘οΈ TPV: Tesla's O-Net competitor π‘οΈ
πFrom Beijing an open-source approach for vision-centric autonomous driving #3D perception
πReview https://bit.ly/3lNvVYc
πPaper arxiv.org/pdf/2302.07817.pdf
πCode github.com/wzzheng/TPVFormer
πFrom Beijing an open-source approach for vision-centric autonomous driving #3D perception
πReview https://bit.ly/3lNvVYc
πPaper arxiv.org/pdf/2302.07817.pdf
πCode github.com/wzzheng/TPVFormer
π7π₯3π€―3π±1
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«³ Neural Relighting of Hands π«΄
π#META unveil the first neural relighting for personalized hands in real-time under novel illumination
πReview https://bit.ly/3SblmKC
πPaper arxiv.org/pdf/2302.04866.pdf
πProject sh8.io/#/relightable_hands
π#META unveil the first neural relighting for personalized hands in real-time under novel illumination
πReview https://bit.ly/3SblmKC
πPaper arxiv.org/pdf/2302.04866.pdf
πProject sh8.io/#/relightable_hands
π₯°4π3π±3π₯2
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πͺ VoxFormer: 2D->#3D Voxel ViTπͺ
π#Nvidia VoxFormer: #3D volumetric semantics from 2D images
πReview https://bit.ly/3Kw9Yab
πPaper arxiv.org/pdf/2302.12251.pdf
πCode github.com/NVlabs/VoxFormer
π#Nvidia VoxFormer: #3D volumetric semantics from 2D images
πReview https://bit.ly/3Kw9Yab
πPaper arxiv.org/pdf/2302.12251.pdf
πCode github.com/NVlabs/VoxFormer
π₯11π€―3π2
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πͺDisCO: Selfie Correction with 3D-GANπͺ
πSnap (et al.) unveils a GAN-based method for correcting distortions in close-up faces
πReview https://bit.ly/3StGGuX
πPaper arxiv.org/pdf/2302.12253.pdf
πProject https://portrait-disco.github.io
πSnap (et al.) unveils a GAN-based method for correcting distortions in close-up faces
πReview https://bit.ly/3StGGuX
πPaper arxiv.org/pdf/2302.12253.pdf
πProject https://portrait-disco.github.io
π₯8π₯°3β‘1π1
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β½οΈ Vid2Avatar: 3D Avatar from Videos β½οΈ
πVid2Avatar: detailed 3D avatar from monocular videos in the wild
πReview https://bit.ly/3ISbceD
πPaper arxiv.org/pdf/2302.11566.pdf
πProject moygcc.github.io/vid2avatar
πCode (soon) github.com/MoyGcc
πVid2Avatar: detailed 3D avatar from monocular videos in the wild
πReview https://bit.ly/3ISbceD
πPaper arxiv.org/pdf/2302.11566.pdf
πProject moygcc.github.io/vid2avatar
πCode (soon) github.com/MoyGcc
π€―18π11π₯8π±1
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π SLAHMR: 4D People from Clip in-the-Wild π
πUC-Berkeley unveils SLAHMR: novel method to reconstruct global human trajectories from videos
πReview https://bit.ly/3SzTIaj
πPaper arxiv.org/pdf/2302.12827.pdf
πProject vye16.github.io/slahmr/
πCode github.com/vye16/slahmr
πUC-Berkeley unveils SLAHMR: novel method to reconstruct global human trajectories from videos
πReview https://bit.ly/3SzTIaj
πPaper arxiv.org/pdf/2302.12827.pdf
πProject vye16.github.io/slahmr/
πCode github.com/vye16/slahmr
π10π₯8β€2
π SplineCam: Neural Decision Boundary π
π#META -> SplineCam: a step towards neural visualization / interpretability
πReview https://bit.ly/3mgoOaH
πPaper arxiv.org/pdf/2302.12828.pdf
πProject imtiazhumayun.github.io/splinecam
πCode github.com/AhmedImtiazPrio/SplineCAM
π#META -> SplineCam: a step towards neural visualization / interpretability
πReview https://bit.ly/3mgoOaH
πPaper arxiv.org/pdf/2302.12828.pdf
πProject imtiazhumayun.github.io/splinecam
πCode github.com/AhmedImtiazPrio/SplineCAM
π€―8π3
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π ControNet: Conditional Control of Diffusion π
πControlling Stable Diffusion via conditional inputs like edges, segmentation, keypoints, etc. Extra: a super-nice tutorial.
πReview https://bit.ly/3YgjrWt
πPaper arxiv.org/pdf/2302.05543.pdf
πCode github.com/lllyasviel/ControlNet
πTutorial https://github.com/Mikubill/sd-webui-controlnet/discussions/204
πControlling Stable Diffusion via conditional inputs like edges, segmentation, keypoints, etc. Extra: a super-nice tutorial.
πReview https://bit.ly/3YgjrWt
πPaper arxiv.org/pdf/2302.05543.pdf
πCode github.com/lllyasviel/ControlNet
πTutorial https://github.com/Mikubill/sd-webui-controlnet/discussions/204
π€―15π8π₯3β€1
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πΈ TAU: video traffic analytics via UAVs πΈ
π Prince Sultan University unveils TAU: AI-integrated video analytics framework from UAVs' POV
πReview https://bit.ly/3EQIh8F
πPaper arxiv.org/pdf/2303.00337.pdf
πProject github.com/bilel-bj/TAU
π Prince Sultan University unveils TAU: AI-integrated video analytics framework from UAVs' POV
πReview https://bit.ly/3EQIh8F
πPaper arxiv.org/pdf/2303.00337.pdf
πProject github.com/bilel-bj/TAU
π₯10π3π₯°1πΎ1
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π©» Independent Tokens for 3D Human π©»
πTencent open-sourcing a novel method to estimate #3D human pose and shape from monocular videos
πReview https://bit.ly/3Zz0uiH
πPaper arxiv.org/pdf/2303.00298.pdf
πCode github.com/yangsenius/INT_HMR_Model
πProject yangsenius.github.io/INT_HMR_Model/index.html
πTencent open-sourcing a novel method to estimate #3D human pose and shape from monocular videos
πReview https://bit.ly/3Zz0uiH
πPaper arxiv.org/pdf/2303.00298.pdf
πCode github.com/yangsenius/INT_HMR_Model
πProject yangsenius.github.io/INT_HMR_Model/index.html
π₯5π1π’1
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πΈ 3DGP: ImageNet in #3D πΈ
π Snap unveils 3DGP: a novel 3D generator with Generic Priors
πReview https://bit.ly/3KWHUgG
πPaper arxiv.org/pdf/2303.01416.pdf
πProject snap-research.github.io/3dgp/
πCode github.com/snap-research/3dgp
π Snap unveils 3DGP: a novel 3D generator with Generic Priors
πReview https://bit.ly/3KWHUgG
πPaper arxiv.org/pdf/2303.01416.pdf
πProject snap-research.github.io/3dgp/
πCode github.com/snap-research/3dgp
π₯8β‘1π1
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πΊοΈ S-NeRF: NeRF for Street Views πΊοΈ
πS-NeRF: novel view synthesis of streets & foreground moving vehicles jointly
πReview https://bit.ly/3KZUN9w
πPaper arxiv.org/pdf/2303.00749.pdf
πProject ziyang-xie.github.io/s-nerf/
πCode (soon)
πS-NeRF: novel view synthesis of streets & foreground moving vehicles jointly
πReview https://bit.ly/3KZUN9w
πPaper arxiv.org/pdf/2303.00749.pdf
πProject ziyang-xie.github.io/s-nerf/
πCode (soon)
π9π₯3π€―1