Autoregressive Image Generation using Residual Quantization
Github: https://github.com/kakaobrain/rq-vae-transformer
Pytorch: https://github.com/lucidrains/vector-quantize-pytorch
Paper: https://arxiv.org/abs/2203.01941v2
Dataset: https://paperswithcode.com/dataset/lsun
👉 @bigdata_1
Github: https://github.com/kakaobrain/rq-vae-transformer
Pytorch: https://github.com/lucidrains/vector-quantize-pytorch
Paper: https://arxiv.org/abs/2203.01941v2
Dataset: https://paperswithcode.com/dataset/lsun
👉 @bigdata_1
Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data
Github: https://github.com/xinntao/Real-ESRGAN
Paper: https://arxiv.org/abs/2107.10833v1
How to Train Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN/blob/master/Training.md
Colab Demo: https://colab.research.google.com/drive/1sVsoBd9AjckIXThgtZhGrHRfFI6UUYOo
👉 @bigdata_1
Github: https://github.com/xinntao/Real-ESRGAN
Paper: https://arxiv.org/abs/2107.10833v1
How to Train Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN/blob/master/Training.md
Colab Demo: https://colab.research.google.com/drive/1sVsoBd9AjckIXThgtZhGrHRfFI6UUYOo
👉 @bigdata_1
Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer
Github: https://github.com/williamyang1991/DualStyleGAN
Paper: https://arxiv.org/abs/2203.13248v1
Video: https://www.youtube.com/watch?v=scZTu77jixI
Project: https://www.mmlab-ntu.com/project/dualstylegan/
Dataset: https://paperswithcode.com/dataset/ffhq
👉 @bigdata_1
Github: https://github.com/williamyang1991/DualStyleGAN
Paper: https://arxiv.org/abs/2203.13248v1
Video: https://www.youtube.com/watch?v=scZTu77jixI
Project: https://www.mmlab-ntu.com/project/dualstylegan/
Dataset: https://paperswithcode.com/dataset/ffhq
👉 @bigdata_1
AutoVideo: An Automated Video Action Recognition System
Github: https://github.com/datamllab/autovideo
Paper: https://arxiv.org/abs/2108.04212v1
👉 @bigdata_1
Github: https://github.com/datamllab/autovideo
Paper: https://arxiv.org/abs/2108.04212v1
👉 @bigdata_1
👍1
REGTR: End-to-end Point Cloud Correspondences with Transformers
Github: https://github.com/yewzijian/regtr
Paper: https://arxiv.org/abs/2203.14517v1
Pretrained models: https://github.com/yewzijian/RegTR/releases/download/v1/trained_models.zip
Dataset: https://paperswithcode.com/dataset/modelnet
👉 @bigdata_1
Github: https://github.com/yewzijian/regtr
Paper: https://arxiv.org/abs/2203.14517v1
Pretrained models: https://github.com/yewzijian/RegTR/releases/download/v1/trained_models.zip
Dataset: https://paperswithcode.com/dataset/modelnet
👉 @bigdata_1
Domain Aware Universal Style Transfer
Github: https://github.com/kibeom-hong/domain-aware-style-transfer
Paper: https://arxiv.org/abs/2108.04441
👉 @bigdata_1
Github: https://github.com/kibeom-hong/domain-aware-style-transfer
Paper: https://arxiv.org/abs/2108.04441
👉 @bigdata_1
Deep Automatic Natural Image Matting
Github: https://github.com/JizhiziLi/AIM
Paper: https://arxiv.org/abs/2107.07235
Pretrained models: https://drive.google.com/uc?export=download&id=16dd1FGMcsMTqR6EfD2T9mtRmPwxnY0zs
Dataset: https://paperswithcode.com/dataset/celebamask-hq
👉 @bigdata_1
Github: https://github.com/JizhiziLi/AIM
Paper: https://arxiv.org/abs/2107.07235
Pretrained models: https://drive.google.com/uc?export=download&id=16dd1FGMcsMTqR6EfD2T9mtRmPwxnY0zs
Dataset: https://paperswithcode.com/dataset/celebamask-hq
👉 @bigdata_1
Contrastive Sensor Fusion
Github: https://github.com/descarteslabs/contrastive_sensor_fusion
Paper: https://arxiv.org/abs/2108.05094v1
👉 @bigdata_1
Github: https://github.com/descarteslabs/contrastive_sensor_fusion
Paper: https://arxiv.org/abs/2108.05094v1
👉 @bigdata_1
Vision-Language Transformer and Query Generation for Referring Segmentation
Github: https://github.com/henghuiding/Vision-Language-Transformer
Paper: https://arxiv.org/abs/2108.05565v1
Dataset: https://paperswithcode.com/dataset/refcoco
👉 @bigdata_1
Github: https://github.com/henghuiding/Vision-Language-Transformer
Paper: https://arxiv.org/abs/2108.05565v1
Dataset: https://paperswithcode.com/dataset/refcoco
👉 @bigdata_1
SuperGAT
A self-supervised graph attention network (SuperGAT), an improved graph attention model for noisy graph
Code: https://github.com/dongkwan-kim/SuperGAT
Paper: https://arxiv.org/abs/2204.04879v1
Dataset: https://paperswithcode.com/dataset/ogb
👉 @bigdata_1
A self-supervised graph attention network (SuperGAT), an improved graph attention model for noisy graph
Code: https://github.com/dongkwan-kim/SuperGAT
Paper: https://arxiv.org/abs/2204.04879v1
Dataset: https://paperswithcode.com/dataset/ogb
👉 @bigdata_1
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
Github: https://github.com/antabangun/coex
Paper: https://arxiv.org/abs/2108.05773v1
Project: https://antabangun.github.io/projects/CoEx/#demo
👉 @bigdata_1
Github: https://github.com/antabangun/coex
Paper: https://arxiv.org/abs/2108.05773v1
Project: https://antabangun.github.io/projects/CoEx/#demo
👉 @bigdata_1
ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer
Github: https://github.com/rhgao/objectfolder
Paper: https://arxiv.org/abs/2204.02389v1
Project: https://ai.stanford.edu/~rhgao/objectfolder2.0/
Dataset: https://paperswithcode.com/dataset/objectfolder
👉 @bigdata_1
Github: https://github.com/rhgao/objectfolder
Paper: https://arxiv.org/abs/2204.02389v1
Project: https://ai.stanford.edu/~rhgao/objectfolder2.0/
Dataset: https://paperswithcode.com/dataset/objectfolder
👉 @bigdata_1
Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation
Github: https://github.com/crockwell/pixelsynth
Paper: https://arxiv.org/abs/2108.05892v1
👉 @bigdata_1
Github: https://github.com/crockwell/pixelsynth
Paper: https://arxiv.org/abs/2108.05892v1
👉 @bigdata_1
DALL·E 2
DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.
Openai: https://openai.com/dall-e-2/
Paper: https://cdn.openai.com/papers/dall-e-2.pdf
Video: https://vimeo.com/692375454
👉 @bigdata_1
DALL·E 2 is a new AI system that can create realistic images and art from a description in natural language.
Openai: https://openai.com/dall-e-2/
Paper: https://cdn.openai.com/papers/dall-e-2.pdf
Video: https://vimeo.com/692375454
👉 @bigdata_1
🤪1
Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems
Github: https://github.com/openvinotoolkit/training_extensions
Paper: https://arxiv.org/abs/2108.07049v1
👉 @bigdata_1
Github: https://github.com/openvinotoolkit/training_extensions
Paper: https://arxiv.org/abs/2108.07049v1
👉 @bigdata_1
Vision Transformers for Single Image Dehazing
Code: https://github.com/IDKiro/DehazeFormer
Paper: https://arxiv.org/abs/2204.03883v1
Dataset: https://paperswithcode.com/dataset/rs-haze
👉 @bigdata_1
Code: https://github.com/IDKiro/DehazeFormer
Paper: https://arxiv.org/abs/2204.03883v1
Dataset: https://paperswithcode.com/dataset/rs-haze
👉 @bigdata_1
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Github: https://github.com/DengPingFan/Polyp-PVT
Paper: https://arxiv.org/abs/2108.06932v1
👉 @bigdata_1
Github: https://github.com/DengPingFan/Polyp-PVT
Paper: https://arxiv.org/abs/2108.06932v1
👉 @bigdata_1
Unsupervised Image-to-Image Translation with Generative Prior
A novel framework GP-UNIT, to improve the overall quality and applicability of the translation algorithm
Github: https://github.com/williamyang1991/gp-unit
Paper: https://arxiv.org/abs/2204.03641v1
Datasett: https://paperswithcode.com/dataset/celeba-hq
👉 @bigdata_1
A novel framework GP-UNIT, to improve the overall quality and applicability of the translation algorithm
Github: https://github.com/williamyang1991/gp-unit
Paper: https://arxiv.org/abs/2204.03641v1
Datasett: https://paperswithcode.com/dataset/celeba-hq
👉 @bigdata_1
A Unified Objective for Novel Class Discovery
Github: https://github.com/DonkeyShot21/UNO
Paper: https://arxiv.org/abs/2108.08536v2
Dataset: https://paperswithcode.com/dataset/cifar-100
👉 @bigdata_1
Github: https://github.com/DonkeyShot21/UNO
Paper: https://arxiv.org/abs/2108.08536v2
Dataset: https://paperswithcode.com/dataset/cifar-100
👉 @bigdata_1
InsightFace: 2D and 3D Face Analysis Project
Github: https://github.com/deepinsight/insightface
Paper: https://arxiv.org/abs/2108.08191v1
Project: https://insightface.ai/projects
👉 @bigdata_1
Github: https://github.com/deepinsight/insightface
Paper: https://arxiv.org/abs/2108.08191v1
Project: https://insightface.ai/projects
👉 @bigdata_1
✏️ Sat2lod2: A Software For Automated Lod-2 Modeling From Satellite-Derived Orthophoto And Digital Surface Model
The proposed method starts building detection results through a deep learning-based detector and vectorizes individual segments into polygons using a “three-step” polygon extraction method
Github: https://github.com/gdaosu/lod2buildingmodel
Paper: https://arxiv.org/abs/2204.04139v1
Datasett: https://drive.google.com/file/d/1rA7SRPbSYFJwOBc7IfXxBgmUroTOZIOF/view?usp=sharing
Video: https://youtu.be/Nn4OABsEOXk
👉 @bigdata_1
The proposed method starts building detection results through a deep learning-based detector and vectorizes individual segments into polygons using a “three-step” polygon extraction method
Github: https://github.com/gdaosu/lod2buildingmodel
Paper: https://arxiv.org/abs/2204.04139v1
Datasett: https://drive.google.com/file/d/1rA7SRPbSYFJwOBc7IfXxBgmUroTOZIOF/view?usp=sharing
Video: https://youtu.be/Nn4OABsEOXk
👉 @bigdata_1
👍1