Thank Clement! We don't have an open-source plan for now, but we'll keep your interest in mind for future updates.
@baiduresearch
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Adaptive Learning Boosts Interactive Reinforcement Feedback Efficiency
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Tuesday 15:00, Paper TuBT17
Boosting Feedback Efficiency of Interactive Reinforcement Learning by Adaptive Learning from Scores
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MapNeRF Incorporates Map Priors into Neural Radiance Fields
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Tuesday 14:00, Paper TuBT13
MapNeRF: Incorporating Map Priors into Neural Radiance Fields for Driving View Simulation
Paper: https://
arxiv.org/pdf/2307.14981
.pdf
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GOATS: Goal Sampling Adaptation for Robotic Scooping
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Monday 9:40, Paper MoAT10
GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning
Project Website: https://
sites.google.com/view/goatscoop
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Robotics Lab Showcases Autonomous Driving and Control Research at IROS2023
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Our Robotics and Autonomous Driving Lab is geared up for #IROS2023 this week in Detroit! We will present research on robotic control, NeRF for driving view simulation, and adaptive learning. Swing by Booth 532 to explore more or connect if you're around! 🧵 pic.twitter.com/r83ZHfNIS4
— Baidu Research (@BaiduResearch) 2 octobre 2023Our Robotics and Autonomous Driving Lab is geared up for #IROS2023 this week in Detroit! We will present research on robotic control, NeRF for driving view simulation, and adaptive learning. Swing by Booth 532 to explore more or connect if you're around!
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VideoGen: Reference-Guided Latent Diffusion for Video Generation
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We proposed a new text-to-video generation approach, VideoGen, which can generate high-definition video with high frame fidelity and strong temporal consistency using reference-guided latent diffusion. Learn more: https://t.co/HS5ALQv3GK pic.twitter.com/aEoUls78eS
— Baidu Research (@BaiduResearch) 7 septembre 2023We proposed a new text-to-video generation approach, VideoGen, which can generate high-definition video with high frame fidelity and strong temporal consistency using reference-guided latent diffusion. Learn more: https://
videogen.github.io/VideoGen/ -
Baidu Research Advances Computer Vision Robotics with Seven Papers
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Baidu Research RAL is leading the way in innovation! 🚀 Seven innovative papers in #ComputerVision and #Robotics showcase our advances in stereo matching, autonomous excavators, NeRF and more!
— Baidu Research (@BaiduResearch) 18 août 2023
Explore our work: https://t.co/agJCMDfp2q pic.twitter.com/EhFmABG9JOBaidu Research RAL is leading the way in innovation! Seven innovative papers in #ComputerVision and #Robotics showcase our advances in stereo matching, autonomous excavators, NeRF and more! Explore our work: http://
research.baidu.com/Blog/index-vie
w?id=186
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Baidu Hosts Foundation Models Workshop at CVPR2023
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Baidu was proud to co-host the inaugural "Workshop on Foundation Models" at #CVPR2023 last week with ZJU, HKU, and AIR-CAS. https://
foundation-model.com/home Congrats to CTRL & njust for their wins in Multi-Task & Cross-Modal tracks! Check out Baidu's CV models: https://
github.com/PaddlePaddle/V
IMER
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StyleSync: AI Project for Creative Content Generation
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You can find more details on the project page. https://
hangz-nju-cuhk.github.io/projects/Style
Sync
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StyleSync: High-Fidelity Generalized Personalized Lip Sync
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Demo video for the paper: StyleSync: High-Fidelity Generalized and Personalized Lip Sync in Style-based Generator (CVPR 2023).