Results 1 to 10 of about 1,194,241 (312)
Deepfakes and beyond: A Survey of face manipulation and fake detection [PDF]
Information Fusion, 2020 The free access to large-scale public databases, together with the fast progress of deep learning techniques, in particular Generative Adversarial Networks, have led to the generation of very realistic fake content with its corresponding implications ...
Ruben Tolosana +2 more
exaly +2 more sources
Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware [PDF]
Robotics: Science and Systems, 2023 Fine manipulation tasks, such as threading cable ties or slotting a battery, are notoriously difficult for robots because they require precision, careful coordination of contact forces, and closed-loop visual feedback.
Tony Zhao +3 more
semanticscholar +1 more source
StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery [PDF]
IEEE International Conference on Computer Vision, 2021 Inspired by the ability of StyleGAN to generate highly realistic images in a variety of domains, much recent work has focused on understanding how to use the latent spaces of StyleGAN to manipulate generated and real images.
Or Patashnik +4 more
semanticscholar +1 more source
VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models [PDF]
Conference on Robot Learning, 2023 Large language models (LLMs) are shown to possess a wealth of actionable knowledge that can be extracted for robot manipulation in the form of reasoning and planning. Despite the progress, most still rely on pre-defined motion primitives to carry out the
Wenlong Huang +5 more
semanticscholar +1 more source
R3M: A Universal Visual Representation for Robot Manipulation [PDF]
Conference on Robot Learning, 2022 We study how visual representations pre-trained on diverse human video data can enable data-efficient learning of downstream robotic manipulation tasks.
Suraj Nair +4 more
semanticscholar +1 more source
RVT: Robotic View Transformer for 3D Object Manipulation [PDF]
Conference on Robot Learning, 2023 For 3D object manipulation, methods that build an explicit 3D representation perform better than those relying only on camera images. But using explicit 3D representations like voxels comes at large computing cost, adversely affecting scalability.
Ankit Goyal +5 more
semanticscholar +1 more source
Lead–Acid Battery SOC Prediction Using Improved AdaBoost Algorithm
Energies, 2022 Research on the state of charge (SOC) prediction of lead–acid batteries is of great importance to the use and management of batteries. Due to this reason, this paper proposes a method for predicting the SOC of lead–acid batteries based on the improved ...
Shuo Sun +6 more
doaj +1 more source
Critical Pattern Selection Method Based on CNN Embeddings for Full-Chip Optimization
Photonics, 2023 Source mask optimization (SMO), a primary resolution enhancement technology, is one of the most pivotal technologies for enhancing lithography imaging quality.
Qingyan Zhang +6 more
doaj +1 more source
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).
Ting-Chun Wang +5 more
semanticscholar +1 more source
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation [PDF]
Conference on Robot Learning, 2022 Transformers have revolutionized vision and natural language processing with their ability to scale with large datasets. But in robotic manipulation, data is both limited and expensive.
Mohit Shridhar, Lucas Manuelli, D. Fox
semanticscholar +1 more source