PinnedInTDS ArchivebyTim Cheng·Mar 29, 2023Diffusion Probabilistic Models and Text-to-Image GenerationPhotorealistic Generation of Anything You Can Think of
PinnedInTDS ArchivebyTim Cheng·Sep 23, 2022DINO-ViT — Beyond Self-Supervised ClassificationsDistill Fine-Grained Features Without Supervision
PinnedInTDS ArchivebyTim Cheng·Aug 20, 2022What Is CLIP and Why Is It Becoming Viral?When a neural network uses so much data it becomes “universal”A response icon1A response icon1
PinnedInTDS ArchivebyTim Cheng·Jul 31, 2022A Very Basic Overview of Neural Radiance Fields (NeRF)Can they one day replace photos?
PinnedInTDS ArchivebyTim Cheng·Nov 25, 2021Supervised, Semi-Supervised, Unsupervised, and Self-Supervised LearningDemystifying each learning taskA response icon2A response icon2
InTDS ArchivebyTim Cheng·Aug 10, 2022Deep Image Prior in PyTorchImage Denoising with No Data and a Random Network
InGeek CulturebyTim Cheng·Jun 20, 20225 Must-Do Error Analysis Before You Put Your Model in ProductionLook deeper into your deep modelsA response icon1A response icon1
InTDS ArchivebyTim Cheng·Jun 3, 2022Must-Read Papers in Computer Vision for the 2020s *Updated*The frontier of deep learning techniques in computer vision
InTDS ArchivebyTim Cheng·Mar 20, 2022Create New Animals using DCGAN with PyTorchLearning features from wildlife to generate new creatures
InTDS ArchivebyTim Cheng·Jan 25, 2022Contrastive Learning in 3 MinutesThe exponential progress of contrastive learning in self-supervised tasks
