image generation

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer CVPR 2021 StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery ICCV 2021 StyleFormer: Real-Time Arbitrary Style Transfer via Parametric Style Composition ICCV 2021 StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation CVPR 2021 Style Transfer by Rigid Alignment in Neural Net Feature Space WACV 2021 Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis CVPR 2021 Taming GANs with Lookahead-Minmax ICLR 2021 Taming Transformers for High-Resolution Image Synthesis CVPR 2021 Teachers Do More Than Teach: Compressing Image-to-Image Models CVPR 2021 Teacher-Student Adversarial Depth Hallucination To Improve Face Recognition ICCV 2021 The Image Local Autoregressive Transformer NeurIPS 2021 Toward Accurate and Realistic Outfits Visualization With Attention to Details CVPR 2021 Towards High Fidelity Face Relighting With Realistic Shadows CVPR 2021 Toward Spatially Unbiased Generative Models ICCV 2021 Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN NeurIPS 2021 Towards Understanding the Generative Capability of Adversarially Robust Classifiers ICCV 2021 Training GANs with Stronger Augmentations via Contrastive Discriminator ICLR 2021 Training Generative Adversarial Networks in One Stage CVPR 2021 TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up NeurIPS 2021 UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis NeurIPS 2021 Understanding Noise Injection in GANs ICML 2021 Unsupervised Disentanglement of Linear-Encoded Facial Semantics CVPR 2021 Unsupervised Image Generation With Infinite Generative Adversarial Networks ICCV 2021 Unsupervised Learning of Compositional Energy Concepts NeurIPS 2021 User-Guided Line Art Flat Filling With Split Filling Mechanism CVPR 2021