Papers
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
Jiawen Zhu, Choubo Ding, Yu Tian et al.
Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability
Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning
Jianqing Zhang, Yang Liu, Yang Hua et al.
AnyDoor: Zero-shot Object-level Image Customization
Xi Chen, Lianghua Huang, Yu Liu et al.
AnyScene: Customized Image Synthesis with Composited Foreground
Ruidong Chen, Lanjun Wang, Weizhi Nie et al.
Any-Shift Prompting for Generalization over Distributions
Zehao Xiao, Jiayi Shen, Mohammad Mahdi Derakhshani et al.
AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
Jieming Cui, Tengyu Liu, Nian Liu et al.
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification
Zexian Yang, Dayan Wu, Chenming Wu et al.
A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction
Jin Gong, Runzhao Yang, Weihang Zhang et al.
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
Jack Urbanek, Florian Bordes, Pietro Astolfi et al.
APISR: Anime Production Inspired Real-World Anime Super-Resolution
Boyang Wang, Fengyu Yang, Xihang Yu et al.
APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation
Weizhao He, Yang Zhang, Wei Zhuo et al.
Arbitrary Motion Style Transfer with Multi-condition Motion Latent Diffusion Model
Wenfeng Song, Xingliang Jin, Shuai Li et al.
Arbitrary-Scale Image Generation and Upsampling using Latent Diffusion Model and Implicit Neural Decoder
Jinseok Kim, Tae-Kyun Kim
A Recipe for Scaling up Text-to-Video Generation with Text-free Videos
Xiang Wang, Shiwei Zhang, Hangjie Yuan et al.
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization
Guobin Shen, Dongcheng Zhao, Tenglong Li et al.
ArGue: Attribute-Guided Prompt Tuning for Vision-Language Models
Xinyu Tian, Shu Zou, Zhaoyuan Yang et al.
ArtAdapter: Text-to-Image Style Transfer using Multi-Level Style Encoder and Explicit Adaptation
Dar-Yen Chen, Hamish Tennent, Ching-Wen Hsu
Artist-Friendly Relightable and Animatable Neural Heads
Yingyan Xu, Prashanth Chandran, Sebastian Weiss et al.
ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe
Yifan Bai, Zeyang Zhao, Yihong Gong et al.
ASAM: Boosting Segment Anything Model with Adversarial Tuning
Bo Li, Haoke Xiao, Lv Tang
A Semi-supervised Nighttime Dehazing Baseline with Spatial-Frequency Aware and Realistic Brightness Constraint
Xiaofeng Cong, Jie Gui, Jing Zhang et al.
ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering
Haokai Pang, Heming Zhu, Adam Kortylewski et al.
A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization
Hongwei Ren, Jiadong Zhu, Yue Zhou et al.
A Simple Baseline for Efficient Hand Mesh Reconstruction
Zhishan Zhou, Shihao Zhou, Zhi Lv et al.