Papers
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
Joshua Ahn, Haochen Wang, Raymond A. Yeh et al.
Amodal Completion via Progressive Mixed Context Diffusion
Katherine Xu, Lingzhi Zhang, Jianbo Shi
Amodal Ground Truth and Completion in the Wild
Guanqi Zhan, Chuanxia Zheng, Weidi Xie et al.
AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One
Mike Ranzinger, Greg Heinrich, Jan Kautz et al.
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang, Zhenyi Lin, Qilong Wang et al.
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
Yuan Wang, Huazhu Fu, Renuga Kanagavelu et al.
Analyzing and Improving the Training Dynamics of Diffusion Models
Tero Karras, Miika Aittala, Jaakko Lehtinen et al.
An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing
Feiran Hu, Chenlin Zhang, Jiangliang Guo et al.
Anatomically Constrained Implicit Face Models
Prashanth Chandran, Gaspard Zoss
Anchor-based Robust Finetuning of Vision-Language Models
Jinwei Han, Zhiwen Lin, Zhongyisun Sun et al.
An Edit Friendly DDPM Noise Space: Inversion and Manipulations
Inbar Huberman-Spiegelglas, Vladimir Kulikov, Tomer Michaeli
An Empirical Study of Scaling Law for Scene Text Recognition
Miao Rang, Zhenni Bi, Chuanjian Liu et al.
ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D Image
Marco Pesavento, Yuanlu Xu, Nikolaos Sarafianos et al.
Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling
Zhe Li, Zerong Zheng, Lizhen Wang et al.
Animating General Image with Large Visual Motion Model
Dengsheng Chen, Xiaoming Wei, Xiaolin Wei
An Interactive Navigation Method with Effect-oriented Affordance
Xiaohan Wang, Yuehu Liu, Xinhang Song et al.
An N-Point Linear Solver for Line and Motion Estimation with Event Cameras
Ling Gao, Daniel Gehrig, Hang Su et al.
A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?
Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund
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.