research
∙
09/04/2023
Adv3D: Generating 3D Adversarial Examples in Driving Scenarios with NeRF
Deep neural networks (DNNs) have been proven extremely susceptible to ad...
share
research
∙
08/23/2023
A Scale-Invariant Task Balancing Approach for Multi-Task Learning
Multi-task learning (MTL), a learning paradigm to learn multiple related...
research
∙
07/31/2023
High Dynamic Range Image Reconstruction via Deep Explicit Polynomial Curve Estimation
Due to limited camera capacities, digital images usually have a narrower...
research
∙
07/17/2023
Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation
Conditional diffusion models have demonstrated impressive performance in...
research
∙
06/26/2023
Decompose and Realign: Tackling Condition Misalignment in Text-to-Image Diffusion Models
Text-to-image diffusion models have advanced towards more controllable g...
research
∙
05/30/2023
Rethinking Rendering in Generalizable Neural Surface Reconstruction: A Learning-based Solution
Generalizable neural surface reconstruction techniques have attracted gr...
research
∙
04/07/2023
Lift3D: Synthesize 3D Training Data by Lifting 2D GAN to 3D Generative Radiance Field
This work explores the use of 3D generative models to synthesize trainin...
research
∙
03/20/2023
Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection
Neural implicit surface learning has shown significant progress in multi...
research
∙
08/03/2022
Adaptive Domain Generalization via Online Disagreement Minimization
Deep neural networks suffer from significant performance deterioration w...
research
∙
03/10/2022
Representation Compensation Networks for Continual Semantic Segmentation
In this work, we study the continual semantic segmentation problem, wher...
research
∙
09/15/2021
Image Synthesis via Semantic Composition
In this paper, we present a novel approach to synthesize realistic image...
research
∙
02/18/2021
Delving into Deep Imbalanced Regression
Real-world data often exhibit imbalanced distributions, where certain ta...
research
∙
04/08/2020
Attentive Normalization for Conditional Image Generation
Traditional convolution-based generative adversarial networks synthesize...
research
∙
03/15/2020
VCNet: A Robust Approach to Blind Image Inpainting
Blind inpainting is a task to automatically complete visual contents wit...
research
∙
03/15/2018
Facelet-Bank for Fast Portrait Manipulation
Digital face manipulation has become a popular and fascinating way to to...
research
∙
04/07/2017
Convolutional Neural Pyramid for Image Processing
We propose a principled convolutional neural pyramid (CNP) framework for...
research
∙
03/26/2017
Person Re-Identification by Camera Correlation Aware Feature Augmentation
The challenge of person re-identification (re-id) is to match individual...
research
∙
04/26/2016