7 citations · 16 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning Correspondence for Deformable Objects
Priya Sundaresan, Aditya Ganapathi, Harry Zhang +1
We investigate the problem of pixelwise correspondence for deformable objects, namely cloth and rope, by comparing both classical and learning-based methods. We choose cloth and ro…
APLA: Additional Perturbation for Latent Noise with Adversarial Training Enables Consistency
Yupu Yao, Shangqi Deng, Zihan Cao +2
Diffusion models have exhibited promising progress in video generation. However, they often struggle to retain consistent details within local regions across frames. One underlying…
DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification
Sitian Shen, Zilin Zhu, Linqian Fan +2
Large pre-trained models have had a significant impact on computer vision by enabling multi-modal learning, where the CLIP model has achieved impressive results in image classifica…
6-DoF Grasp Planning using Fast 3D Reconstruction and Grasp Quality CNN
Yahav Avigal, Samuel Paradis, Harry Zhang
Recent consumer demand for home robots has accelerated performance of robotic grasping. However, a key component of the perception pipeline, the depth camera, is still expensive an…