Cover Image

One-shot recognition of any material anywhere using contrastive learning with physics-based rendering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Drehwald, Manuel S., Eppel, Sagi, Li, Jolina, Hao, Han, Aspuru-Guzik, Alan
Format:	Preprint
Published:	2022
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning Zero-Shot Material States Segmentation, by Implanting Natural Image Patterns in Synthetic Data
by: Eppel, Sagi, et al.
Published: (2024)

Vastextures: Vast repository of textures and PBR materials extracted from real-world images using unsupervised methods
by: Eppel, Sagi
Published: (2024)

Do large language vision models understand 3D shapes?
by: Eppel, Sagi
Published: (2024)

Coding the Visual World: From Image to Simulation Using Vision Language Models
by: Eppel, Sagi
Published: (2026)

SciTextures: Collecting and Connecting Visual Patterns, Models, and Code Across Science and Art
by: Eppel, Sagi, et al.
Published: (2025)

Shape and Texture Recognition in Large Vision-Language Models
by: Eppel, Sagi, et al.
Published: (2025)

Two-stream joint matching method based on contrastive learning for few-shot action recognition
by: Deng, Long, et al.
Published: (2024)

LIGHTHOUSE: Fast and precise distance to shoreline calculations from anywhere on earth
by: Beukema, Patrick, et al.
Published: (2025)

Few-shot point cloud reconstruction and denoising via learned Guassian splats renderings and fine-tuned diffusion features
by: Bonazzi, Pietro, et al.
Published: (2024)

A real-time rendering method for high albedo anisotropic materials with multiple scattering
by: Fang, Shun, et al.
Published: (2024)

AnyPlace: Learning Generalized Object Placement for Robot Manipulation
by: Zhao, Yuchi, et al.
Published: (2025)

Zero-shot domain adaptation based on dual-level mix and contrast
by: Zhe, Yu, et al.
Published: (2024)

The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks
by: Calabrese, Carmela, et al.
Published: (2024)

RAWMamba: Unified sRGB-to-RAW De-rendering With State Space Model
by: Chen, Hongjun, et al.
Published: (2024)

Semi-supervised reference-based sketch extraction using a contrastive learning framework
by: Seo, Chang Wook, et al.
Published: (2024)

Blendify -- Python rendering framework for Blender
by: Guzov, Vladimir, et al.
Published: (2024)

Continual-learning-based framework for structural damage recognition
by: Shu, Jiangpeng, et al.
Published: (2024)

StyO: Stylize Your Face in Only One-shot
by: Li, Bonan, et al.
Published: (2023)

Breast tumor classification based on self-supervised contrastive learning from ultrasound videos
by: Tang, Yunxin, et al.
Published: (2024)

Cross-modal learning for plankton recognition
by: Kareinen, Joona, et al.
Published: (2026)

Deep-learning recognition and tracking of individual nanotubes in low-contrast microscopy videos
by: Pimonov, Vladimir, et al.
Published: (2024)

Can masking background and object reduce static bias for zero-shot action recognition?
by: Fukuzawa, Takumi, et al.
Published: (2025)

Towards classification-based representation learning for place recognition on LiDAR scans
by: Konoplia, Maksim, et al.
Published: (2025)

Spatial frequency information fusion network for few-shot learning
by: Zhao, Wenqing, et al.
Published: (2025)

De-rendering, Reasoning, and Repairing Charts with Vision-Language Models
by: Bonas, Valentin, et al.
Published: (2026)

Deeply Dual Supervised learning for melanoma recognition
by: Polma, Rujosh, et al.
Published: (2025)

X-ray transferable polyrepresentation learning
by: Hryniewska-Guzik, Weronika, et al.
Published: (2025)

CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels
by: Deng, Shizhuo, et al.
Published: (2024)

Denoising, segmentation and volumetric rendering of optical coherence tomography angiography (OCTA) image using deep learning techniques: a review
by: Chen, Kejie, et al.
Published: (2025)

One-shot Training for Video Object Segmentation
by: Chen, Baiyu, et al.
Published: (2024)

Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy
by: Sabater-Gárriz, Álvaro, et al.
Published: (2024)

A theory of understanding for artificial intelligence: composability, catalysts, and learning
by: Zhang, Zijian, et al.
Published: (2024)

Contrastive learning-based video quality assessment-jointed video vision transformer for video recognition
by: Sun, Jian, et al.
Published: (2026)

Equilibrium contrastive learning for imbalanced image classification
by: Roh, Sumin, et al.
Published: (2026)

Spline refinement with differentiable rendering
by: Zdyb, Frans, et al.
Published: (2025)

Mesh deformation-based single-view 3D reconstruction of thin eyeglasses frames with differentiable rendering
by: Zhang, Fan, et al.
Published: (2024)

One-shot lip-based biometric authentication: extending behavioral features with authentication phrase information
by: Koch, Brando, et al.
Published: (2023)

One-shot In-context Part Segmentation
by: Dai, Zhenqi, et al.
Published: (2025)

3DIS-FLUX: simple and efficient multi-instance generation with DiT rendering
by: Zhou, Dewei, et al.
Published: (2025)

CNN-based explanation ensembling for dataset, representation and explanations evaluation
by: Hryniewska-Guzik, Weronika, et al.
Published: (2024)