23 citations · 36 across the 29 of their papers we have counts for
6 papers · 1 filter
DiverseDream: Diverse Text-to-3D Synthesis with Augmented Text Embedding
Uy Dieu Tran, Minh Luu, Phong Ha Nguyen +2
Text-to-3D synthesis has recently emerged as a new approach to sampling 3D models by adopting pretrained text-to-image models as guiding visual priors. An intriguing but underexplo…
Unbiased Scene Graph Generation via Two-stage Causal Modeling
Shuzhou Sun, Shuaifeng Zhi, Qing Liao +2
Despite the impressive performance of recent unbiased Scene Graph Generation (SGG) methods, the current debiasing literature mainly focuses on the long-tailed distribution problem,…
Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation
Mayu Otani, Riku Togashi, Yu Sawai +5
Human evaluation is critical for validating the performance of text-to-image generative models, as this highly cognitive process requires deep comprehension of text and images. How…
MSDA: Monocular Self-supervised Domain Adaptation for 6D Object Pose Estimation
Dingding Cai, Janne Heikkilä, Esa Rahtu
Acquiring labeled 6D poses from real images is an expensive and time-consuming task. Though massive amounts of synthetic RGB images are easy to obtain, the models trained on them s…
BS3D: Building-scale 3D Reconstruction from RGB-D Images
Janne Mustaniemi, Juho Kannala, Esa Rahtu +2
Various datasets have been proposed for simultaneous localization and mapping (SLAM) and related problems. Existing datasets often include small environments, have incomplete groun…
Sparse resultant based minimal solvers in computer vision and their connection with the action matrix
Snehal Bhayani, Janne Heikkilä, Zuzana Kukelova
Many computer vision applications require robust and efficient estimation of camera geometry from a minimal number of input data measurements, i.e., solving minimal problems in a R…