331 Open source projects that are alternatives of or similar to Guided-I2I-Translation-Papers

Official pytorch implementation of "Scaling-up Disentanglement for Image Translation", ICCV 2021.

This repository contains all the papers accepted in top conference of computer vision, with convenience to search related papers.

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CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

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💬 A list of End-to-End speech recognition, including papers, codes and other materials

[CVPR 2021] Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis (official pytorch implementation)

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Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

personal repository

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code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

SALT (iccv2017) based Video Denoising Codes, Matlab implementation

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Official code for paper "Spatially Aware Multimodal Transformers for TextVQA" published at ECCV, 2020.

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[CVPR 2021] Counterfactual VQA: A Cause-Effect Look at Language Bias

This paper is accepted by ICCV 2021.

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Paper notes in deep learning/machine learning and computer vision

[CVPR 2020] Re-hosting of the LUVLi Face Alignment codebase. Please download the codebase from the original MERL website by agreeing to all terms and conditions. By using this code, you agree to MERL's research-only licensing terms.

[CVPR 2021] Scan2Cap: Context-aware Dense Captioning in RGB-D Scans

Compilation of the state of the art of tools, articles, forums and links of interest to generate and detect any type of synthetic content using deep learning.

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Unbalanced Feature Transport for Exemplar-based Image Translation [CVPR 2021] and Marginal Contrastive Correspondence for Guided Image Generation [CVPR 2022]

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This project uses a conditional generative adversarial network (cGAN) named Pix2Pix for the Image to image translation task.

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Official PyTorch implementation of the paper: "DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample" (ICCV 2021 Oral)

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Chainer implementation for Image-to-Image Translation Using Conditional Adversarial Networks

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