Ep. 238 - Part 2 - June 4, 2024

ArXiv Computer Vision research for Tuesday, June 04, 2024. 00:20: FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning 02:06: EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections 03:14: Learning to Edit Visual Programs with Self-Supervision 04:15: Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images 06:12: WE-GS: An In-the-wild Efficient 3D Gaussian Representation for Unconstrained Photo Collections 07:39: Decoupling of neural network calibration measures 08:48: IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI 10:29: CoNav: A Benchmark for Human-Centered Collaborative Navigation 12:05: Generative Active Learning for Long-tailed Instance Segmentation 13:17: RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting 14:51: Learning Image Priors through Patch-based Diffusion Models for Solving Inverse Problems 16:23: DL-KDD: Dual-Light Knowledge Distillation for Action Recognition in the Dark 18:13: Inpainting Pathology in Lumbar Spine MRI with Latent Diffusion 19:59: Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation 21:43: GenS: Generalizable Neural Surface Reconstruction from Multi-View Images 23:20: An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series 24:48: Guiding a Diffusion Model with a Bad Version of Itself 25:59: CamCo: Camera-Controllable 3D-Consistent Image-to-Video Generation 27:17: V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation 28:50: DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering 30:17: SatSplatYOLO: 3D Gaussian Splatting-based Virtual Object Detection Ensembles for Satellite Feature Recognition 31:24: Enhancing 2D Representation Learning with a 3D Prior 32:32: Parrot: Multilingual Visual Instruction Tuning 34:32: ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation 36:20: Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting 38:20: Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning 39:41: Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation 41:52: Dreamguider: Improved Training free Diffusion-based Conditional Generation 43:10: VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors