Copertina

Latent Intrinsics Emerge from Training to Relight

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Xiao, Gao, William, Jain, Seemandhar, Maire, Michael, Forsyth, David A., Bhattad, Anand
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Generative Blocks World: Moving Things Around in Pictures
di: Vavilala, Vaibhav, et al.
Pubblicazione: (2025)

Improved Convex Decomposition with Ensembling and Negative Primitives
di: Vavilala, Vaibhav, et al.
Pubblicazione: (2024)

Stronger Semantic Encoders Can Harm Relighting Performance: Probing Visual Priors via Augmented Latent Intrinsics
di: Xing, Xiaoyan, et al.
Pubblicazione: (2026)

LumiNet: Latent Intrinsics Meets Diffusion Models for Indoor Scene Relighting
di: Xing, Xiaoyan, et al.
Pubblicazione: (2024)

ScribbleLight: Single Image Indoor Relighting with Scribbles
di: Choi, Jun Myeong, et al.
Pubblicazione: (2024)

SyncLight: Single-Edit Multi-View Relighting
di: Serrano-Lozano, David, et al.
Pubblicazione: (2026)

SpotLight: Shadow-Guided Object Relighting via Diffusion
di: Fortier-Chouinard, Frédéric, et al.
Pubblicazione: (2024)

ZeroComp: Zero-shot Object Compositing from Image Intrinsics via Diffusion
di: Zhang, Zitian, et al.
Pubblicazione: (2024)

Nested Diffusion Models Using Hierarchical Latent Priors
di: Zhang, Xiao, et al.
Pubblicazione: (2024)

Visual Jenga: Discovering Object Dependencies via Counterfactual Inpainting
di: Bhattad, Anand, et al.
Pubblicazione: (2025)

Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations
di: Zhang, Xiao, et al.
Pubblicazione: (2023)

Learning Relighting and Intrinsic Decomposition in Neural Radiance Fields
di: Yang, Yixiong, et al.
Pubblicazione: (2024)

Relightable Neural Actor with Intrinsic Decomposition and Pose Control
di: Luvizon, Diogo, et al.
Pubblicazione: (2023)

UrbanIR: Large-Scale Urban Scene Inverse Rendering from a Single Video
di: Lin, Chih-Hao, et al.
Pubblicazione: (2023)

AD-Relight: Training-Free Banner Relighting via Illumination Translation with Diffusion Priors
di: Mishra, Rameshwar, et al.
Pubblicazione: (2026)

Residual Connections Harm Generative Representation Learning
di: Zhang, Xiao, et al.
Pubblicazione: (2024)

Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now
di: Sarkar, Ayush, et al.
Pubblicazione: (2023)

Relighting from a Single Image: Datasets and Deep Intrinsic-based Architecture
di: Yang, Yixiong, et al.
Pubblicazione: (2024)

Learning Latent Proxies for Controllable Single-Image Relighting
di: Zheng, Haoze, et al.
Pubblicazione: (2026)

LightCtrl: Training-free Controllable Video Relighting
di: Peng, Yizuo, et al.
Pubblicazione: (2026)

PIXLRelight: Controllable Relighting via Intrinsic Conditioning
di: Farinha, Miguel, et al.
Pubblicazione: (2026)

Holo-Relighting: Controllable Volumetric Portrait Relighting from a Single Image
di: Mei, Yiqun, et al.
Pubblicazione: (2024)

Objects in Generated Videos Are Slower Than They Appear: Models Suffer Sub-Earth Gravity and Don't Know Galileo's Principle...for now
di: Thozhiyoor, Varun Varma, et al.
Pubblicazione: (2025)

SyncFix: Fixing 3D Reconstructions via Multi-View Synchronization
di: Li, Deming, et al.
Pubblicazione: (2026)

Name That Part: 3D Part Segmentation and Naming
di: Paul, Soumava, et al.
Pubblicazione: (2025)

Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion
di: Fan, Xiang, et al.
Pubblicazione: (2024)

FlowPortal: Residual-Corrected Flow for Training-Free Video Relighting and Background Replacement
di: Gao, Wenshuo, et al.
Pubblicazione: (2025)

Generalizable Sparse-View 3D Reconstruction from Unconstrained Images
di: Gupta, Vinayak, et al.
Pubblicazione: (2026)

Text2Relight: Creative Portrait Relighting with Text Guidance
di: Cha, Junuk, et al.
Pubblicazione: (2024)

Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization
di: Wang, Junying, et al.
Pubblicazione: (2025)

Relightable 3D Gaussians: Realistic Point Cloud Relighting with BRDF Decomposition and Ray Tracing
di: Gao, Jian, et al.
Pubblicazione: (2023)

UniRelight: Learning Joint Decomposition and Synthesis for Video Relighting
di: He, Kai, et al.
Pubblicazione: (2025)

EgoRelight: Egocentric Human Capture and Illumination Recovery for Relightable and Photoreal Avatar Rendering
di: Chen, Jianchun, et al.
Pubblicazione: (2026)

Light4D: Training-Free Extreme Viewpoint 4D Video Relighting
di: Wu, Zhenghuang, et al.
Pubblicazione: (2026)

Relightable Holoported Characters: Capturing and Relighting Dynamic Human Performance from Sparse Views
di: Singh, Kunwar Maheep, et al.
Pubblicazione: (2025)

ViT-5: Vision Transformers for The Mid-2020s
di: Wang, Feng, et al.
Pubblicazione: (2026)

RelightMaster: Precise Video Relighting with Multi-plane Light Images
di: Bian, Weikang, et al.
Pubblicazione: (2025)

NERFIFY: A Multi-Agent Framework for Turning NeRF Papers into Code
di: Jain, Seemandhar, et al.
Pubblicazione: (2026)

Lite2Relight: 3D-aware Single Image Portrait Relighting
di: Rao, Pramod, et al.
Pubblicazione: (2024)

Light-A-Video: Training-free Video Relighting via Progressive Light Fusion
di: Zhou, Yujie, et al.
Pubblicazione: (2025)