Imagen de Portada

Preserving Identity with Variational Score for General-purpose 3D Editing

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Le, Duong H., Pham, Tuan, Kembhavi, Aniruddha, Mandt, Stephan, Ma, Wei-Chiu, Lu, Jiasen
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

One Diffusion to Generate Them All
por: Le, Duong H., et al.
Publicado: (2024)

Neural NeRF Compression
por: Pham, Tuan, et al.
Publicado: (2024)

GeoDiff: Geometry-Guided Diffusion for Metric Depth Estimation
por: Pham, Tuan, et al.
Publicado: (2025)

Eval3D: Interpretable and Fine-grained Evaluation for 3D Generation
por: Duggal, Shivam, et al.
Publicado: (2025)

UMAMI: Unifying Masked Autoregressive Models and Deterministic Rendering for View Synthesis
por: Le, Thanh-Tung, et al.
Publicado: (2025)

Iterated Learning Improves Compositionality in Large Vision-Language Models
por: Zheng, Chenhao, et al.
Publicado: (2024)

Generate Any Scene: Scene Graph Driven Data Synthesis for Visual Generation Training
por: Gao, Ziqi, et al.
Publicado: (2024)

EFHQ: Multi-purpose ExtremePose-Face-HQ dataset
por: Dao, Trung Tuan, et al.
Publicado: (2023)

Diffusion-Guided Gaussian Splatting for Large-Scale Unconstrained 3D Reconstruction and Novel View Synthesis
por: Mithun, Niluthpol Chowdhury, et al.
Publicado: (2025)

Efficient Few-shot Identity Preserving Attribute Editing for 3D-aware Deep Generative Models
por: Vinod, Vishal
Publicado: (2025)

Rethinking Score Distilling Sampling for 3D Editing and Generation
por: Miao, Xingyu, et al.
Publicado: (2025)

Advancing Text-to-3D Generation with Linearized Lookahead Variational Score Distillation
por: Lei, Yu, et al.
Publicado: (2025)

Task Me Anything
por: Zhang, Jieyu, et al.
Publicado: (2024)

Identity Preserving 3D Head Stylization with Multiview Score Distillation
por: Bilecen, Bahri Batuhan, et al.
Publicado: (2024)

From an Image to a Scene: Learning to Imagine the World from a Million 360 Videos
por: Wallingford, Matthew, et al.
Publicado: (2024)

Lossy Image Compression with Conditional Diffusion Models
por: Yang, Ruihan, et al.
Publicado: (2022)

Variational Control for Guidance in Diffusion Models
por: Pandey, Kushagra, et al.
Publicado: (2025)

DiffSwap++: 3D Latent-Controlled Diffusion for Identity-Preserving Face Swapping
por: Bondurant, Weston, et al.
Publicado: (2025)

TimeMachine: Fine-Grained Facial Age Editing with Identity Preservation
por: Mi, Yilin, et al.
Publicado: (2025)

InstaFace: Identity-Preserving Facial Editing with Single Image Inference
por: Khan, MD Wahiduzzaman, et al.
Publicado: (2025)

IP-FaceDiff: Identity-Preserving Facial Video Editing with Diffusion
por: Anand, Tharun, et al.
Publicado: (2025)

Seeing the Unseen: Visual Common Sense for Semantic Placement
por: Ramrakhya, Ram, et al.
Publicado: (2024)

OmniPerson: Unified Identity-Preserving Pedestrian Generation
por: Ma, Changxiao, et al.
Publicado: (2025)

Progressive Compression with Universally Quantized Diffusion Models
por: Yang, Yibo, et al.
Publicado: (2024)

Fast Samplers for Inverse Problems in Iterative Refinement Models
por: Pandey, Kushagra, et al.
Publicado: (2024)

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

Hierarchical Variational Policies for Reward-Guided Diffusion
por: Pandey, Kushagra, et al.
Publicado: (2026)

Exposing and Addressing Cross-Task Inconsistency in Unified Vision-Language Models
por: Maharana, Adyasha, et al.
Publicado: (2023)

RelWitness: Open-Vocabulary 3D Scene Graph Generation with Visual-Geometric Relation Witnesses
por: Nguyen, Minh Anh, et al.
Publicado: (2026)

UniGen-1.5: Enhancing Image Generation and Editing through Reward Unification in Reinforcement Learning
por: Tian, Rui, et al.
Publicado: (2025)

WildActor: Unconstrained Identity-Preserving Video Generation
por: Guo, Qin, et al.
Publicado: (2026)

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

Insights from Generative Modeling for Neural Video Compression
por: Yang, Ruihan, et al.
Publicado: (2021)

Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos
por: Zhai, Albert J., et al.
Publicado: (2026)

An Identity-Preserved Framework for Human Motion Transfer
por: Ma, Jingzhe, et al.
Publicado: (2022)

IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation
por: Zhou, Donghao, et al.
Publicado: (2025)

CMD: Controllable Multiview Diffusion for 3D Editing and Progressive Generation
por: Li, Peng, et al.
Publicado: (2025)

IMPRINT: Generative Object Compositing by Learning Identity-Preserving Representation
por: Song, Yizhi, et al.
Publicado: (2024)

Leveraging feature communication in federated learning for remote sensing image classification
por: Duong, Anh-Kiet, et al.
Publicado: (2024)

Harmonic Mobile Manipulation
por: Yang, Ruihan, et al.
Publicado: (2023)