Papers
Digital Life Project: Autonomous 3D Characters with Social Intelligence
Zhongang Cai, Jianping Jiang, Zhongfei Qing et al.
DiLiGenRT: A Photometric Stereo Dataset with Quantified Roughness and Translucency
Heng Guo, Jieji Ren, Feishi Wang et al.
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
Nastaran Saadati, Minh Pham, Nasla Saleem et al.
DIOD: Self-Distillation Meets Object Discovery
Sandra Kara, Hejer Ammar, Julien Denize et al.
DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning
Sikai Bai, Jie Zhang, Song Guo et al.
Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion
Yuanxun Lu, Jingyang Zhang, Shiwei Li et al.
DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data
Qihao Liu, Yi Zhang, Song Bai et al.
DisCo: Disentangled Control for Realistic Human Dance Generation
Tan Wang, Linjie Li, Kevin Lin et al.
Discontinuity-preserving Normal Integration with Auxiliary Edges
Hyomin Kim, Yucheol Jung, Seungyong Lee
Discover and Mitigate Multiple Biased Subgroups in Image Classifiers
Zeliang Zhang, Mingqian Feng, Zhiheng Li et al.
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim, Sangwoo Mo, Minkyu Kim et al.
Discovering Syntactic Interaction Clues for Human-Object Interaction Detection
Jinguo Luo, Weihong Ren, Weibo Jiang et al.
Discriminability-Driven Channel Selection for Out-of-Distribution Detection
Yue Yuan, Rundong He, Yicong Dong et al.
Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation
Haifeng Xia, Siyu Xia, Zhengming Ding
Discriminative Probing and Tuning for Text-to-Image Generation
Leigang Qu, Wenjie Wang, Yongqi Li et al.
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
Rashindrie Perera, Saman Halgamuge
Disentangled Pre-training for Human-Object Interaction Detection
Zhuolong Li, Xingao Li, Changxing Ding et al.
Disentangled Prompt Representation for Domain Generalization
De Cheng, Zhipeng Xu, Xinyang Jiang et al.
Dispel Darkness for Better Fusion: A Controllable Visual Enhancer based on Cross-modal Conditional Adversarial Learning
Hao Zhang, Linfeng Tang, Xinyu Xiang et al.
Dispersed Structured Light for Hyperspectral 3D Imaging
Suhyun Shin, Seokjun Choi, Felix Heide et al.
DiSR-NeRF: Diffusion-Guided View-Consistent Super-Resolution NeRF
Jie Long Lee, Chen Li, Gim Hee Lee
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye, Ruonan Yu, Songhua Liu et al.
Distilling CLIP with Dual Guidance for Learning Discriminative Human Body Shape Representation
Feng Liu, Minchul Kim, Zhiyuan Ren et al.
Distilling ODE Solvers of Diffusion Models into Smaller Steps
Sanghwan Kim, Hao Tang, Fisher Yu
Distilling Semantic Priors from SAM to Efficient Image Restoration Models
Quan Zhang, Xiaoyu Liu, Wei Li et al.