Copertina

Learning Energy-based Variational Latent Prior for VAEs

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Dutta, Debottam, Amballa, Chaitanya, Xu, Zhongweiyang, Wei, Yu-Lin, Choudhury, Romit Roy
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Can NeRFs See without Cameras?
di: Amballa, Chaitanya, et al.
Pubblicazione: (2025)

Contrastive Diffusion Guidance for Spatial Inverse Problems
di: Basu, Sattwik, et al.
Pubblicazione: (2025)

Personalized Image Generation via Human-in-the-loop Bayesian Optimization
di: Rajagopalan, Rajalaxmi, et al.
Pubblicazione: (2026)

Discrete Langevin-Inspired Posterior Sampling
di: Amballa, Chaitanya, et al.
Pubblicazione: (2026)

Multi-Source Music Generation with Latent Diffusion
di: Xu, Zhongweiyang, et al.
Pubblicazione: (2024)

Steer Away From Mode Collisions: Improving Composition In Diffusion Models
di: Dutta, Debottam, et al.
Pubblicazione: (2025)

Explicit Context-Driven Neural Acoustic Modeling for High-Fidelity RIR Generation
di: Si, Chen, et al.
Pubblicazione: (2025)

LS-GAN: Human Motion Synthesis with Latent-space GANs
di: Amballa, Avinash, et al.
Pubblicazione: (2024)

A Simple and Effective Reinforcement Learning Method for Text-to-Image Diffusion Fine-tuning
di: Gupta, Shashank, et al.
Pubblicazione: (2025)

Deep Incomplete Multi-view Learning via Cyclic Permutation of VAEs
di: Gao, Xin, et al.
Pubblicazione: (2025)

Dependency-Aware Discrete Diffusion for Scene Graph Generation
di: Rajagopalan, Rajalaxmi, et al.
Pubblicazione: (2026)

Adversarial robustness of VAEs through the lens of local geometry
di: Khan, Asif, et al.
Pubblicazione: (2022)

Variational Transfer Learning using Cross-Domain Latent Modulation
di: Hou, Jinyong, et al.
Pubblicazione: (2022)

Pediatric Pneumonia Detection from Chest X-Rays:A Comparative Study of Transfer Learning and Custom CNNs
di: Choudhury, Agniv Roy
Pubblicazione: (2025)

Zero-shot Human Pose Estimation using Diffusion-based Inverse solvers
di: Karnoor, Sahil Bhandary, et al.
Pubblicazione: (2025)

Residual Prior Diffusion: A Probabilistic Framework Integrating Coarse Latent Priors with Diffusion Models
di: Kutsuna, Takuro
Pubblicazione: (2025)

GenVP: Generating Visual Puzzles with Contrastive Hierarchical VAEs
di: Basioti, Kalliopi, et al.
Pubblicazione: (2025)

CODA: Repurposing Continuous VAEs for Discrete Tokenization
di: Liu, Zeyu, et al.
Pubblicazione: (2025)

BRo-JEPA: Learning Modular Arithmetic in Latent Space
di: Jha, Divyansh, et al.
Pubblicazione: (2026)

Boosting Flow-based Generative Super-Resolution Models via Learned Prior
di: Tsao, Li-Yuan, et al.
Pubblicazione: (2024)

Dataset Condensation with Latent Quantile Matching
di: Wei, Wei, et al.
Pubblicazione: (2024)

Learning Visual Feature-Based World Models via Residual Latent Action
di: Zhang, Xinyu, et al.
Pubblicazione: (2026)

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification
di: Lin, Zinan, et al.
Pubblicazione: (2025)

Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow
di: Zheng, Bowen, et al.
Pubblicazione: (2026)

Learning to Play Video Games with Intuitive Physics Priors
di: Jaiswal, Abhishek, et al.
Pubblicazione: (2024)

HQ-VAE: Hierarchical Discrete Representation Learning with Variational Bayes
di: Takida, Yuhta, et al.
Pubblicazione: (2023)

Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation
di: Yan, HongWei, et al.
Pubblicazione: (2024)

PhyCo: Learning Controllable Physical Priors for Generative Motion
di: Narayanan, Sriram, et al.
Pubblicazione: (2026)

Pixel-Space Post-Training of Latent Diffusion Models
di: Zhang, Christina, et al.
Pubblicazione: (2024)

Latent Action Learning Requires Supervision in the Presence of Distractors
di: Nikulin, Alexander, et al.
Pubblicazione: (2025)

Taming Latent Diffusion Model for Neural Radiance Field Inpainting
di: Lin, Chieh Hubert, et al.
Pubblicazione: (2024)

A Gray-box Attack against Latent Diffusion Model-based Image Editing by Posterior Collapse
di: Guo, Zhongliang, et al.
Pubblicazione: (2024)

Gen-Fab: A Variation-Aware Generative Model for Predicting Fabrication Variations in Nanophotonic Devices
di: Azimi, Rambod, et al.
Pubblicazione: (2026)

GPS-SSL: Guided Positive Sampling to Inject Prior Into Self-Supervised Learning
di: Feizi, Aarash, et al.
Pubblicazione: (2024)

GNNRL-Smoothing: A Prior-Free Reinforcement Learning Model for Mesh Smoothing
di: Wang, Zhichao, et al.
Pubblicazione: (2024)

AdverX-Ray: Ensuring X-Ray Integrity Through Frequency-Sensitive Adversarial VAEs
di: Caetano, Francisco, et al.
Pubblicazione: (2025)

Latent Diffusion Model without Variational Autoencoder
di: Shi, Minglei, et al.
Pubblicazione: (2025)

WorDepth: Variational Language Prior for Monocular Depth Estimation
di: Zeng, Ziyao, et al.
Pubblicazione: (2024)

UnfoldLDM: Degradation-Aware Unfolding with Iterative Latent Diffusion Priors for Blind Image Restoration
di: He, Chunming, et al.
Pubblicazione: (2025)

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance
di: Kang, Mintong, et al.
Pubblicazione: (2025)