7 citations · 16 across the 12 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CV2023
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…
cs.RO2023★ 1 cited
FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection
Harry Zhang, Ben Eisner, David Held
Understanding and manipulating articulated objects, such as doors and drawers, is crucial for robots operating in human environments. We wish to develop a system that can learn to…
cs.CV2023★ 1 cited
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…