b'Yinghao Xu'

research

∙ 09/07/2023

Exploring Sparse MoE in GANs for Text-conditioned Image Synthesis

Due to the difficulty in scaling up, generative adversarial networks (GA...

0 Jiapeng Zhu, et al. ∙

research

∙ 08/29/2023

Learning Modulated Transformation in GANs

The success of style-based generators largely benefits from style modula...

0 Ceyuan Yang, et al. ∙

research

∙ 07/23/2023

Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation

Deep neural networks achieve superior performance for learning from inde...

0 Haoyue Bai, et al. ∙

research

∙ 07/11/2023

Efficient 3D Articulated Human Generation with Layered Surface Volumes

Access to high-quality and diverse 3D articulated digital human assets i...

0 Yinghao Xu, et al. ∙

research

∙ 06/21/2023

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized Codebase

Despite the rapid advance of 3D-aware image synthesis, existing studies ...

0 Qiuyu Wang, et al. ∙

research

∙ 03/02/2023

3D generation on ImageNet

Existing 3D-from-2D generators are typically designed for well-curated s...

0 Ivan Skorokhodov, et al. ∙

research

∙ 01/20/2023

Spatial Steerability of GANs via Self-Supervision from Discriminator

Generative models make huge progress to the photorealistic image synthes...

19 Jianyuan Wang, et al. ∙

research

∙ 01/12/2023

GH-Feat: Learning Versatile Generative Hierarchical Features from GANs

Recent years witness the tremendous success of generative adversarial ne...

8 Yinghao Xu, et al. ∙

research

∙ 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 ...

3 Yinghao Xu, et al. ∙

research

∙ 12/14/2022

Towards Smooth Video Composition

Video generation requires synthesizing consistent and persistent frames ...

4 Qihang Zhang, et al. ∙

research

∙ 10/27/2022

Deep Generative Models on 3D Representations: A Survey

Generative models, as an important family of statistical modeling, targe...

0 Zifan Shi, et al. ∙

research

∙ 09/20/2022

Improving GANs with A Dynamic Discriminator

Discriminator plays a vital role in training generative adversarial netw...

7 Ceyuan Yang, et al. ∙

research

∙ 03/24/2022

Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation

Generating speech-consistent body and gesture movements is a long-standi...

0 Xian Liu, et al. ∙

research

∙ 03/21/2022

High-fidelity GAN Inversion with Padding Space

Inverting a Generative Adversarial Network (GAN) facilitates a wide rang...

6 Qingyan Bai, et al. ∙

research

∙ 01/19/2022

Semantic-Aware Implicit Neural Audio-Driven Video Portrait Generation

Animating high-fidelity video portrait with speech audio is crucial for ...

2 Xian Liu, et al. ∙

research

∙ 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 ...

7 Yinghao Xu, et al. ∙

research

∙ 12/17/2021

Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition

Semi-supervised action recognition is a challenging but important task d...

15 Yinghao Xu, et al. ∙

research

∙ 12/01/2021

Improving GAN Equilibrium by Raising Spatial Awareness

The success of Generative Adversarial Networks (GANs) is largely built u...

2 Jianyuan Wang, et al. ∙

research

∙ 11/18/2021

One-Shot Generative Domain Adaptation

This work aims at transferring a Generative Adversarial Network (GAN) pr...

2 Ceyuan Yang, et al. ∙

research

∙ 09/04/2021

Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

Implicit neural rendering techniques have shown promising results for no...

7 Bangbang Yang, et al. ∙

research

∙ 06/19/2021

CompConv: A Compact Convolution Module for Efficient Feature Learning

Convolutional Neural Networks (CNNs) have achieved remarkable success in...

6 Chen Zhang, et al. ∙

research

∙ 06/08/2021

Data-Efficient Instance Generation from Instance Discrimination

Generative Adversarial Networks (GANs) have significantly advanced image...

2 Ceyuan Yang, et al. ∙

research

∙ 05/18/2021

Decorating Your Own Bedroom: Locally Controlling Image Generation with Generative Adversarial Networks

Generative Adversarial Networks (GANs) have made great success in synthe...

8 Chen Zhang, et al. ∙

research

∙ 12/31/2020

Neural Body: Implicit Neural Representations with Structured Latent Codes for Novel View Synthesis of Dynamic Humans

This paper addresses the challenge of novel view synthesis for a human p...

27 Sida Peng, et al. ∙

research

∙ 07/20/2020

Generative Hierarchical Features from Synthesizing Images

Generative Adversarial Networks (GANs) have recently advanced image synt...

28 Yinghao Xu, et al. ∙

research

∙ 06/29/2020

Unsupervised Landmark Learning from Unpaired Data

Recent attempts for unsupervised landmark learning leverage synthesized ...

14 Yinghao Xu, et al. ∙

research

∙ 06/28/2020

Video Representation Learning with Visual Tempo Consistency

Visual tempo, which describes how fast an action goes, has shown its pot...

3 Ceyuan Yang, et al. ∙

research

∙ 04/07/2020

Temporal Pyramid Network for Action Recognition

Visual tempo characterizes the dynamics and the temporal scale of an act...

21 Ceyuan Yang, et al. ∙

research

∙ 12/24/2019

Dense RepPoints: Representing Visual Objects with Dense Point Sets

We present an object representation, called Dense RepPoints, for flexibl...

8 Yinghao Xu, et al. ∙

research

∙ 12/11/2018

A Main/Subsidiary Network Framework for Simplifying Binary Neural Network

To reduce memory footprint and run-time latency, techniques such as neur...

0 Yinghao Xu, et al. ∙

Yinghao Xu

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