Linking pages
- Researchers from UC Berkeley and Amazon Introduce an Unsupervised AI Method for Synthesizing Realistic Photos from Scene Sketches - MarkTechPost https://www.marktechpost.com/2022/09/06/researchers-from-uc-berkeley-and-amazon-introduce-an-unsupervised-ai-method-for-synthesizing-realistic-photos-from-scene-sketches/ 0 comments
- Researchers From POSTECH And NVIDIA Created Two Large-Scale Implicit Datasets, Namely PeRFception-CO3D and PeRFception-ScanNet, That Cover Object-Centric And Scene-Centric Environments - MarkTechPost https://www.marktechpost.com/2022/09/06/researchers-from-postech-and-nvidia-created-two-large-scale-implicit-datasets-namely-perfception-co3d-and-perfception-scannet-that-cover-object-centric-and-scene-centric-environments/ 0 comments
- Latest Computer Vision Research From China Proposes a LiDAR-Inertial-Visual Fusion Framework Termed R3LIVE++ to Achieve Robust and Accurate State Estimation While Simultaneously Reconstructing the Radiance Map on the Fly - MarkTechPost https://www.marktechpost.com/2022/09/20/latest-computer-vision-research-from-china-proposes-a-lidar-inertial-visual-fusion-framework-termed-r3live-to-achieve-robust-and-accurate-state-estimation-while-simultaneously-reconstructing-the-rad/ 0 comments
- A New Diffusion-based Generative Model that Designs Protein Backbone Structures via a Procedure that Mirrors the Native Folding Process - MarkTechPost https://www.marktechpost.com/2022/10/08/a-new-diffusion-based-generative-model-that-designs-protein-backbone-structures-via-a-procedure-that-mirrors-the-native-folding-process/ 0 comments
Linked pages
- This Artificial Intelligence AI Research Proposes A Novel NIR-VIS Face Generation Method To Address The Problem of Insufficient NIR-VIS Data For The Cross-Modality Face Recognition Network Training - MarkTechPost https://www.marktechpost.com/2022/11/15/this-artificial-intelligence-ai-research-proposes-a-novel-nir-vis-face-generation-method-to-address-the-problem-of-insufficient-nir-vis-data-for-the-cross-modality-face-recognition-network-training/ 1 comment
- Computer Science Researchers at Bytedance Developed Monolith: a Collisionless Optimised Embedding Table for Deep Learning-Based Real-Time Recommendations in a Memory-Efficient Way - MarkTechPost https://www.marktechpost.com/2022/11/14/computer-science-researchers-at-bytedance-developed-monolith-a-collisionless-optimised-embedding-table-for-deep-learning-based-real-time-recommendations-in-a-memory-efficient-way/ 0 comments