ttaa9 Goto Github PK
Name: Tristan A.A.
Type: User
Company: Samsung AI Center - Toronto / York University
Twitter: TristanAA97
Tristan A.A.'s Projects
prin
Pointwise Rotation-Invariant Network
probtorch
Probabilistic Torch is library for deep generative models that extends PyTorch
pytorch-gan
PyTorch implementations of Generative Adversarial Networks.
pytorch-msssim
PyTorch differentiable Multi-Scale Structural Similarity (MS-SSIM) loss
pytorch-msssim-1
Fast and differentiable MS-SSIM and SSIM for pytorch.
pytorch-wgan
Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP
pytorch-wrapper
Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.
self-attention-gan-pytorch
This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.
shapenetrender_more_variation
A new shapenet rendering 2D image dataset that also contains deph map, normal map and albedo map.
shift-net_pytorch
Pytorch implementation of Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)
softras
Project page of paper "Soft Rasterizer: A Differentiable Renderer for Image-based 3D Reasoning"
stable-dreambooth
Dreambooth implementation based on Stable Diffusion with minimal code.
stanford-shapenet-renderer
Scripts for batch rendering models using Blender. Tested with models from stanfords shapenet library.
style-based-gan-pytorch
Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch
tensorf
[ECCV 2022] Tensorial Radiance Fields, a novel approach to model and reconstruct radiance fields
tensorfield-torch
Tensorfieldnetworks implemented in pytorch
torch-ngp
A pytorch CUDA extension implementation of instant-ngp (sdf and nerf), with a GUI.
unet-stylegan2
A Pytorch implementation of Stylegan2 with UNet Discriminator
unetgan
Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
webpage-template
Simple project webpage template. Originally used in Colorful Image Colorization. ECCV, 2016.
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