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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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07/27/2023
Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models
Prompt tuning and adapter tuning have shown great potential in transferr...
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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 ...
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06/04/2023
Using Unreliable Pseudo-Labels for Label-Efficient Semantic Segmentation
The crux of label-efficient semantic segmentation is to produce high-qua...
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06/03/2023
Balancing Logit Variation for Long-tailed Semantic Segmentation
Semantic segmentation usually suffers from a long-tail data distribution...
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06/03/2023
VideoComposer: Compositional Video Synthesis with Motion Controllability
The pursuit of controllability as a higher standard of visual content cr...
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05/23/2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Domain adaptive semantic segmentation aims to transfer knowledge from a ...
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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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03/15/2023
Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos
Video temporal grounding aims to pinpoint a video segment that matches t...
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03/13/2023
ViM: Vision Middleware for Unified Downstream Transferring
Foundation models are pre-trained on massive data and transferred to dow...
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02/20/2023
Composer: Creative and Controllable Image Synthesis with Composable Conditions
Recent large-scale generative models learned on big data are capable of ...
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02/14/2023
UKnow: A Unified Knowledge Protocol for Common-Sense Reasoning and Vision-Language Pre-training
This work presents a unified knowledge protocol, called UKnow, which fac...
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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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11/29/2022
Dimensionality-Varying Diffusion Process
Diffusion models, which learn to reverse a signal destruction process to...
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11/21/2022
Neural Dependencies Emerging from Learning Massive Categories
This work presents two astonishing findings on neural networks learned f...
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10/27/2022
Deep Generative Models on 3D Representations: A Survey
Generative models, as an important family of statistical modeling, targe...
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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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09/15/2022
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Self-training has shown great potential in semi-supervised learning. Its...
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06/08/2022
A Unified Model for Multi-class Anomaly Detection
Despite the rapid advance of unsupervised anomaly detection, existing me...
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03/21/2022
High-fidelity GAN Inversion with Padding Space
Inverting a Generative Adversarial Network (GAN) facilitates a wide rang...
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03/08/2022
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels
The crux of semi-supervised semantic segmentation is to assign adequate ...
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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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06/19/2021
CompConv: A Compact Convolution Module for Efficient Feature Learning
Convolutional Neural Networks (CNNs) have achieved remarkable success in...
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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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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...
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03/13/2021
Unsupervised Image Transformation Learning via Generative Adversarial Networks
In this work, we study the image transformation problem by learning the ...
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12/09/2020
Improving the Fairness of Deep Generative Models without Retraining
Generative Adversarial Networks (GANs) have recently advanced face synth...
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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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07/13/2020
Closed-Form Factorization of Latent Semantics in GANs
A rich set of semantic attributes has been shown to emerge in the latent...
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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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03/31/2020
In-Domain GAN Inversion for Real Image Editing
Recent work has shown that a variety of controllable semantics emerges i...
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02/21/2020
Residual Knowledge Distillation
Knowledge distillation (KD) is one of the most potent ways for model com...
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12/15/2019
Image Processing Using Multi-Code GAN Prior
Despite the success of Generative Adversarial Networks (GANs) in image s...
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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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07/25/2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Despite the recent advance of Generative Adversarial Networks (GANs) in ...
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12/05/2018
Feature Matters: A Stage-by-Stage Approach for Knowledge Transfer
Convolutional Neural Networks (CNNs) become deeper and deeper in recent ...
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12/04/2018
