Video Frame Interpolation without Temporal Priors
Github: https://github.com/yjzhang96/UTI-VFI#video-frame-interpolation-without-temporal-priors-neurips2020
Paper: https://arxiv.org/pdf/2112.01161v1.pdf
Video: https://www.youtube.com/watch?v=aTKa--tmHuM
@ArtificialIntelligencedl
Github: https://github.com/yjzhang96/UTI-VFI#video-frame-interpolation-without-temporal-priors-neurips2020
Paper: https://arxiv.org/pdf/2112.01161v1.pdf
Video: https://www.youtube.com/watch?v=aTKa--tmHuM
@ArtificialIntelligencedl
A Fast Knowledge Distillation Framework for Visual Recognition
Github: https://github.com/szq0214/fkd
Paper: https://arxiv.org/abs/2112.01528v1
@ArtificialIntelligencedl
Github: https://github.com/szq0214/fkd
Paper: https://arxiv.org/abs/2112.01528v1
@ArtificialIntelligencedl
👍1
Text2Mesh: Text-Driven Neural Stylization for Meshes
Github: https://github.com/threedle/text2mesh
Project: https://threedle.github.io/text2mesh/
Paper: https://arxiv.org/abs/2112.03221
@ArtificialIntelligencedl
Github: https://github.com/threedle/text2mesh
Project: https://threedle.github.io/text2mesh/
Paper: https://arxiv.org/abs/2112.03221
@ArtificialIntelligencedl
Garment4D: Garment Reconstruction from Point Cloud Sequences
Github: https://github.com/hongfz16/garment4d
Project: https://hongfz16.github.io/projects/Garment4D.html
Paper: https://arxiv.org/abs/2112.04159v1
@ArtificialIntelligencedl
Github: https://github.com/hongfz16/garment4d
Project: https://hongfz16.github.io/projects/Garment4D.html
Paper: https://arxiv.org/abs/2112.04159v1
@ArtificialIntelligencedl
Language Modelling at Scale: Gopher, Ethical considerations, and Retrieval
Deepmind: https://deepmind.com/blog/article/language-modelling-at-scale
Paper: https://storage.googleapis.com/deepmind-media/research/language-research/Ethical%20and%20social%20risks.pdf
@ArtificialIntelligencedl
Deepmind: https://deepmind.com/blog/article/language-modelling-at-scale
Paper: https://storage.googleapis.com/deepmind-media/research/language-research/Ethical%20and%20social%20risks.pdf
@ArtificialIntelligencedl
💡 Adapting BERT for Continual Learning of a Sequence of Aspect Sentiment Classification Tasks
Github: https://github.com/zixuanke/pycontinual
Paper: https://arxiv.org/pdf/2112.03271v1.pdf
@ArtificialIntelligencedl
Github: https://github.com/zixuanke/pycontinual
Paper: https://arxiv.org/pdf/2112.03271v1.pdf
@ArtificialIntelligencedl
🎹 Music Source Separation with Channel-wise Subband Phase Aware ResUnet (CWS-PResUNet)
Github: https://github.com/haoheliu/2021-ismir-mss-challenge-cws-presunet
Paper: https://arxiv.org/abs/2112.04685v1
Tasks: https://paperswithcode.com/task/music-source-separation
@ArtificialIntelligencedl
Github: https://github.com/haoheliu/2021-ismir-mss-challenge-cws-presunet
Paper: https://arxiv.org/abs/2112.04685v1
Tasks: https://paperswithcode.com/task/music-source-separation
@ArtificialIntelligencedl
🚀 Boosting Active Learning via Improving Test Performance
Github: https://github.com/xulabs/aitom
Tutorials: https://github.com/xulabs/aitom/tree/master/doc/tutorials
Paper: https://arxiv.org/abs/2112.05683v1
Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
Github: https://github.com/xulabs/aitom
Tutorials: https://github.com/xulabs/aitom/tree/master/doc/tutorials
Paper: https://arxiv.org/abs/2112.05683v1
Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
📌 FinRL-Meta: A Universe of Market Environments.
Github: https://github.com/ai4finance-foundation/finrl-meta
Paper: https://arxiv.org/abs/2112.05683v1
@ArtificialIntelligencedl
Github: https://github.com/ai4finance-foundation/finrl-meta
Paper: https://arxiv.org/abs/2112.05683v1
@ArtificialIntelligencedl
⚡️ HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
Github: https://arxiv.org/abs/2112.07221v1
Paper: https://arxiv.org/abs/2112.05683v1
Dataset: https://paperswithcode.com/dataset/reddit
@ArtificialIntelligencedl
Github: https://arxiv.org/abs/2112.07221v1
Paper: https://arxiv.org/abs/2112.05683v1
Dataset: https://paperswithcode.com/dataset/reddit
@ArtificialIntelligencedl
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Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
https://nvlabs.github.io/denoising-diffusion-gan/
Paper: https://arxiv.org/pdf/2112.07804.pdf
Code: https://github.com/NVlabs/denoising-diffusion-gan
@ArtificialIntelligencedl
https://nvlabs.github.io/denoising-diffusion-gan/
Paper: https://arxiv.org/pdf/2112.07804.pdf
Code: https://github.com/NVlabs/denoising-diffusion-gan
@ArtificialIntelligencedl
Tackling the Generative Learning Trilemma with Denoising Diffusion GANs
Github: https://github.com/Arthur151/ROMP
Paper: https://arxiv.org/abs/2112.08274v1
Dataset: https://paperswithcode.com/dataset/agora
@ArtificialIntelligencedl
Github: https://github.com/Arthur151/ROMP
Paper: https://arxiv.org/abs/2112.08274v1
Dataset: https://paperswithcode.com/dataset/agora
@ArtificialIntelligencedl
PECOS - Predictions for Enormous and Correlated Output Spaces
Github: https://github.com/amzn/pecos
Paper: https://arxiv.org/abs/2112.08652v1
@ArtificialIntelligencedl
Github: https://github.com/amzn/pecos
Paper: https://arxiv.org/abs/2112.08652v1
@ArtificialIntelligencedl
🚀 SeqFormer: a Frustratingly Simple Model for Video Instance Segmentation
Github: https://github.com/wjf5203/SeqFormer
Paper: https://arxiv.org/pdf/2112.08275v1.pdf
Datasett: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
Github: https://github.com/wjf5203/SeqFormer
Paper: https://arxiv.org/pdf/2112.08275v1.pdf
Datasett: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
⚙️ StyleSwin: Transformer-based GAN for High-resolution Image Generation
Github: https://github.com/microsoft/StyleSwin
Paper: https://arxiv.org/abs/2112.10762
@ArtificialIntelligencedl
Github: https://github.com/microsoft/StyleSwin
Paper: https://arxiv.org/abs/2112.10762
@ArtificialIntelligencedl
Cost Aggregation Is All You Need for Few-Shot Segmentation
Github: https://github.com/Seokju-Cho/Volumetric-Aggregation-Transformer
Paper: https://arxiv.org/pdf/2112.11685v1.pdf
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
Github: https://github.com/Seokju-Cho/Volumetric-Aggregation-Transformer
Paper: https://arxiv.org/pdf/2112.11685v1.pdf
Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
🔼 Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly-Throughs
Github: https://github.com/cmusatyalab/mega-nerf
Paper: https://arxiv.org/pdf/2112.11685v1.pdf
Dataset: https://paperswithcode.com/dataset/urbanscene3d
@ArtificialIntelligencedl
Github: https://github.com/cmusatyalab/mega-nerf
Paper: https://arxiv.org/pdf/2112.11685v1.pdf
Dataset: https://paperswithcode.com/dataset/urbanscene3d
@ArtificialIntelligencedl
JoJoGAN: One Shot Face Stylization
Github: https://github.com/mchong6/JoJoGAN
Paper: https://arxiv.org/pdf/2112.11685v1.pdf
Tasks: https://paperswithcode.com/task/face-generation
@ArtificialIntelligencedl
Github: https://github.com/mchong6/JoJoGAN
Paper: https://arxiv.org/pdf/2112.11685v1.pdf
Tasks: https://paperswithcode.com/task/face-generation
@ArtificialIntelligencedl
🎭 SeMask: Semantically Masked Transformers for Semantic Segmentation
Github: https://github.com/Picsart-AI-Research/SeMask-Segmentation
Paper: https://arxiv.org/abs/2112.12782
Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
Github: https://github.com/Picsart-AI-Research/SeMask-Segmentation
Paper: https://arxiv.org/abs/2112.12782
Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
📍 SLIP: Self-supervision meets Language-Image Pre-training
Github: https://github.com/facebookresearch/slip
Paper: https://arxiv.org/abs/2112.12750v1
Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
Github: https://github.com/facebookresearch/slip
Paper: https://arxiv.org/abs/2112.12750v1
Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
🔎 PyCIL: A Python Toolbox for Class-Incremental Learning
Github: https://github.com/g-u-n/pycil
Paper: https://arxiv.org/abs/2112.12533v1
Dataset: https://paperswithcode.com/dataset/cifar-100
@ArtificialIntelligencedl
Github: https://github.com/g-u-n/pycil
Paper: https://arxiv.org/abs/2112.12533v1
Dataset: https://paperswithcode.com/dataset/cifar-100
@ArtificialIntelligencedl