Cover Image

Efficient Few-shot Identity Preserving Attribute Editing for 3D-aware Deep Generative Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Vinod, Vishal
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Preserving Identity with Variational Score for General-purpose 3D Editing
by: Le, Duong H., et al.
Published: (2024)

Interpretable Few-shot Learning with Online Attribute Selection
by: Zarei, Mohammad Reza, et al.
Published: (2022)

SUPER: Selfie Undistortion and Head Pose Editing with Identity Preservation
by: Karpikova, Polina, et al.
Published: (2024)

Prompting without Panic: Attribute-aware, Zero-shot, Test-Time Calibration
by: Hebbalaguppe, Ramya, et al.
Published: (2025)

DataDream: Few-shot Guided Dataset Generation
by: Kim, Jae Myung, et al.
Published: (2024)

Few-shot Multispectral Segmentation with Representations Generated by Reinforcement Learning
by: Jayakody, Dilith, et al.
Published: (2023)

SCOPE: Scene-Contextualized Incremental Few-Shot 3D Segmentation
by: Thengane, Vishal, et al.
Published: (2026)

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation
by: Kim, Jiwook, et al.
Published: (2024)

Feedforward Few-shot Species Range Estimation
by: Lange, Christian, et al.
Published: (2025)

EyePreserve: Identity-Preserving Iris Synthesis
by: Khan, Siamul Karim, et al.
Published: (2023)

Video to Video Generative Adversarial Network for Few-shot Learning Based on Policy Gradient
by: Ma, Yintai, et al.
Published: (2024)

Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
by: Chen, Shengzhuang, et al.
Published: (2024)

Erasing Concepts from Text-to-Image Diffusion Models with Few-shot Unlearning
by: Fuchi, Masane, et al.
Published: (2024)

Benchmarking Few-shot Transferability of Pre-trained Models with Improved Evaluation Protocols
by: Luo, Xu, et al.
Published: (2026)

Flatness Improves Backbone Generalisation in Few-shot Classification
by: Li, Rui, et al.
Published: (2024)

HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
by: Li, Jianfeng, et al.
Published: (2024)

Overcoming Support Dilution for Robust Few-shot Semantic Segmentation
by: Tang, Wailing, et al.
Published: (2025)

Improving Diversity in Black-box Few-shot Knowledge Distillation
by: Vo, Tri-Nhan, et al.
Published: (2026)

L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout
by: Song, Heda, et al.
Published: (2019)

VAR-3D: View-aware Auto-Regressive Model for Text-to-3D Generation via a 3D Tokenizer
by: Han, Zongcheng, et al.
Published: (2026)

Few-shot Semantic Learning for Robust Multi-Biome 3D Semantic Mapping in Off-Road Environments
by: Atha, Deegan, et al.
Published: (2024)

Exploring 3D-aware Latent Spaces for Efficiently Learning Numerous Scenes
by: Schnepf, Antoine, et al.
Published: (2024)

Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
by: Hu, Minyang, et al.
Published: (2024)

AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies
by: Saha, Surojit, et al.
Published: (2025)

Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?
by: Asadi, Nader, et al.
Published: (2024)

VIRL: Volume-Informed Representation Learning towards Few-shot Manufacturability Estimation
by: Chen, Yu-hsuan, et al.
Published: (2024)

TAGE: Trustworthy Attribute Group Editing for Stable Few-shot Image Generation
by: Zhang, Ruicheng, et al.
Published: (2024)

PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification
by: Wang, Zhenwei, et al.
Published: (2024)

Efficient and Versatile Robust Fine-Tuning of Zero-shot Models
by: Kim, Sungyeon, et al.
Published: (2024)

DirPA: Addressing Prior Shift in Imbalanced Few-shot Crop-type Classification
by: Reuss, Joana, et al.
Published: (2026)

Ground-A-Score: Scaling Up the Score Distillation for Multi-Attribute Editing
by: Chang, Hangeol, et al.
Published: (2024)

Diorama: Unleashing Zero-shot Single-view 3D Indoor Scene Modeling
by: Wu, Qirui, et al.
Published: (2024)

Opacity-Gradient Driven Density Control for Compact and Efficient Few-Shot 3D Gaussian Splatting
by: Elrawy, Abdelrhman, et al.
Published: (2025)

CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
by: Zhang, Boxiang, et al.
Published: (2026)

Few-shot multi-token DreamBooth with LoRa for style-consistent character generation
by: Pascual, Ruben, et al.
Published: (2025)

Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains
by: Xu, Xin, et al.
Published: (2025)

MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
by: Tian, Hongduan, et al.
Published: (2024)

Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis
by: Kudo, Shoma, et al.
Published: (2024)

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings
by: Xue, Yihao, et al.
Published: (2023)

InfiniteYou: Flexible Photo Recrafting While Preserving Your Identity
by: Jiang, Liming, et al.
Published: (2025)