Papers
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation
Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa et al.
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim, Taesung Kwon, Jong Chul Ye
DIFNet: Boosting Visual Information Flow for Image Captioning
Mingrui Wu, Xuying Zhang, Xiaoshuai Sun et al.
DiGS: Divergence Guided Shape Implicit Neural Representation for Unoriented Point Clouds
Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould
DiLiGenT102: A Photometric Stereo Benchmark Dataset With Controlled Shape and Material Variation
Jieji Ren, Feishi Wang, Jiahao Zhang et al.
Dimension Embeddings for Monocular 3D Object Detection
Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu et al.
DINE: Domain Adaptation From Single and Multiple Black-Box Predictors
Jian Liang, Dapeng Hu, Jiashi Feng et al.
DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow
Zihua Zheng, Ni Nie, Zhi Ling et al.
DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway et al.
DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition
Thanh-Dat Truong, Quoc-Huy Bui, Chi Nhan Duong et al.
Directional Self-Supervised Learning for Heavy Image Augmentations
Yalong Bai, Yifan Yang, Wei Zhang et al.
Direct Voxel Grid Optimization: Super-Fast Convergence for Radiance Fields Reconstruction
Cheng Sun, Min Sun, Hwann-Tzong Chen
DisARM: Displacement Aware Relation Module for 3D Detection
Yao Duan, Chenyang Zhu, Yuqing Lan et al.
Discovering Objects That Can Move
Zhipeng Bao, Pavel Tokmakov, Allan Jabri et al.
Discrete Cosine Transform Network for Guided Depth Map Super-Resolution
Zixiang Zhao, Jiangshe Zhang, Shuang Xu et al.
Discrete Time Convolution for Fast Event-Based Stereo
Kaixuan Zhang, Kaiwei Che, Jianguo Zhang et al.
Disentangled3D: Learning a 3D Generative Model With Disentangled Geometry and Appearance From Monocular Images
Ayush Tewari, Mallikarjun B R, Xingang Pan et al.
Disentangling Visual and Written Concepts in CLIP
Joanna Materzyńska, Antonio Torralba, David Bau
Disentangling Visual Embeddings for Attributes and Objects
Nirat Saini, Khoi Pham, Abhinav Shrivastava
DiSparse: Disentangled Sparsification for Multitask Model Compression
Xinglong Sun, Ali Hassani, Zhangyang Wang et al.
Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection
Xian Qu, Changxing Ding, Xingao Li et al.
Distinguishing Unseen From Seen for Generalized Zero-Shot Learning
Hongzu Su, Jingjing Li, Zhi Chen et al.
Dist-PU: Positive-Unlabeled Learning From a Label Distribution Perspective
Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang et al.
Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation
Zitian Wang, Xuecheng Nie, Xiaochao Qu et al.
Distribution Consistent Neural Architecture Search
Junyi Pan, Chong Sun, Yizhou Zhou et al.