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09/07/2023
Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis
Due to the difficulty in scaling up, generative adversarial networks (GA...
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08/29/2023
Learning Modulated Transformation in GANs
The success of style-based generators largely benefits from style modula...
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07/23/2023
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation
Deep neural networks achieve superior performance for learning from inde...
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07/10/2023
AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
With the advance of text-to-image models (e.g., Stable Diffusion) and co...
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04/04/2023
Revisiting the Evaluation of Image Synthesis with GANs
A good metric, which promises a reliable comparison between solutions, i...
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01/20/2023
Spatial Steerability of GANs via Self-Supervision from Discriminator
Generative models make huge progress to the photorealistic image synthes...
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01/12/2023
GH-Feat: Learning Versatile Generative Hierarchical Features from GANs
Recent years witness the tremendous success of generative adversarial ne...
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12/22/2022
DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis
Existing 3D-aware image synthesis approaches mainly focus on generating ...
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12/14/2022
Towards Smooth Video Composition
Video generation requires synthesizing consistent and persistent frames ...
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09/20/2022
Improving GANs with A Dynamic Discriminator
Discriminator plays a vital role in training generative adversarial netw...
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07/14/2022
Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation
Unsupervised Domain Adaptation (UDA) aims to adapt the model trained on ...
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05/25/2022
Accelerating Diffusion Models via Early Stop of the Diffusion Process
Denoising Diffusion Probabilistic Models (DDPMs) have achieved impressiv...
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12/20/2021
3D-aware Image Synthesis via Learning Structural and Textural Representations
Making generative models 3D-aware bridges the 2D image space and the 3D ...
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12/17/2021
Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition
Semi-supervised action recognition is a challenging but important task d...
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12/01/2021
Improving GAN Equilibrium by Raising Spatial Awareness
The success of Generative Adversarial Networks (GANs) is largely built u...
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11/18/2021
One-Shot Generative Domain Adaptation
This work aims at transferring a Generative Adversarial Network (GAN) pr...
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06/08/2021
Data-Efficient Instance Generation from Instance Discrimination
Generative Adversarial Networks (GANs) have significantly advanced image...
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02/16/2021
Instance Localization for Self-supervised Detection Pretraining
Prior research on self-supervised learning has led to considerable progr...
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07/20/2020
Generative Hierarchical Features from Synthesizing Images
Generative Adversarial Networks (GANs) have recently advanced image synt...
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06/29/2020
Unsupervised Landmark Learning from Unpaired Data
Recent attempts for unsupervised landmark learning leverage synthesized ...
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06/28/2020
Video Representation Learning with Visual Tempo Consistency
Visual tempo, which describes how fast an action goes, has shown its pot...
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05/18/2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Although Generative Adversarial Networks (GANs) have made significant pr...
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04/07/2020
Temporal Pyramid Network for Action Recognition
Visual tempo characterizes the dynamics and the temporal scale of an act...
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11/21/2019
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis
Despite the success of Generative Adversarial Networks (GANs) in image s...
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09/04/2018
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
Due to the expensive and time-consuming annotations (e.g., segmentation)...
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07/30/2018
