:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chu, Jiaming, Wang, Tao, Jin, Lei
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2603.14536
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion
by: Yue, Zhengrong, et al.
Published: (2026)

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

DiffBrush:Just Painting the Art by Your Hands
by: Chu, Jiaming, et al.
Published: (2025)

Single-stage Multi-human Parsing via Point Sets and Center-based Offsets
by: Chu, Jiaming, et al.
Published: (2023)

UniParser: Multi-Human Parsing with Unified Correlation Representation Learning
by: Chu, Jiaming, et al.
Published: (2023)

Latent-Compressed Variational Autoencoder for Video Diffusion Models
by: Guan, Jiarui, et al.
Published: (2026)

Exploring Latent Pathways: Enhancing the Interpretability of Autonomous Driving with a Variational Autoencoder
by: Bairouk, Anass, et al.
Published: (2024)

Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation
by: Sauer, Axel, et al.
Published: (2024)

SVG-T2I: Scaling Up Text-to-Image Latent Diffusion Model Without Variational Autoencoder
by: Shi, Minglei, et al.
Published: (2025)

LiteVAE: Lightweight and Efficient Variational Autoencoders for Latent Diffusion Models
by: Sadat, Seyedmorteza, et al.
Published: (2024)

Visual Variational Autoencoder Prompt Tuning
by: Xiao, Xi, et al.
Published: (2025)

Wavelet-based Variational Autoencoders for High-Resolution Image Generation
by: Kiruluta, Andrew
Published: (2025)

FreeKD: Knowledge Distillation via Semantic Frequency Prompt
by: Zhang, Yuan, et al.
Published: (2023)

UltraImage: Rethinking Resolution Extrapolation in Image Diffusion Transformers
by: Zhao, Min, et al.
Published: (2025)

Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder
by: Mantripragada, Kiran, et al.
Published: (2022)

SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers
by: Rajabi, Javad, et al.
Published: (2026)

DyPE: Dynamic Position Extrapolation for Ultra High Resolution Diffusion
by: Issachar, Noam, et al.
Published: (2025)

Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping
by: Zheng, Jianbin, et al.
Published: (2024)

Rotation Perturbation Robustness in Point Cloud Analysis: A Perspective of Manifold Distillation
by: Xu, Xinyu, et al.
Published: (2024)

Deep Feature Consistent Variational Autoencoder
by: Hou, Xianxu, et al.
Published: (2016)

Discrete Wavelet Transform as a Facilitator for Expressive Latent Space Representation in Variational Autoencoders in Satellite Imagery
by: Mahara, Arpan, et al.
Published: (2025)

DrawMotion: Generating 3D Human Motions by Freehand Drawing
by: Wang, Tao, et al.
Published: (2026)

ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models
by: Yan, Feihong, et al.
Published: (2026)

Multivariate Variational Autoencoder
by: Yavuz, Mehmet Can
Published: (2025)

Score Distillation Sampling with Learned Manifold Corrective
by: Alldieck, Thiemo, et al.
Published: (2024)

Latent Video Dataset Distillation
by: Li, Ning, et al.
Published: (2025)

Conditional Variational Autoencoders for Probabilistic Pose Regression
by: Zangeneh, Fereidoon, et al.
Published: (2024)

Early Lung Cancer Diagnosis from Virtual Follow-up LDCT Generation via Correlational Autoencoder and Latent Flow Matching
by: Wu, Yutong, et al.
Published: (2025)

LatentGAN Autoencoder: Learning Disentangled Latent Distribution
by: Kalwar, Sanket, et al.
Published: (2022)

Resolution Invariant Autoencoder
by: Patel, Ashay, et al.
Published: (2025)

Noise Conditional Variational Score Distillation
by: Peng, Xinyu, et al.
Published: (2025)

Branched Variational Autoencoder Classifiers
by: Salah, Ahmed, et al.
Published: (2024)

Cross-Resolution Distribution Matching for Diffusion Distillation
by: Chen, Feiyang, et al.
Published: (2026)

Dataset Distillation with Probabilistic Latent Features
by: Li, Zhe, et al.
Published: (2025)

Frugal Incremental Generative Modeling using Variational Autoencoders
by: Enescu, Victor, et al.
Published: (2025)

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

Multimodal Variational Autoencoder: a Barycentric View
by: Qiu, Peijie, et al.
Published: (2024)

Bringing NeRFs to the Latent Space: Inverse Graphics Autoencoder
by: Schnepf, Antoine, et al.
Published: (2024)

Geo-EVS: Geometry-Conditioned Extrapolative View Synthesis for Autonomous Driving
by: Lan, Yatong, et al.
Published: (2026)

PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection
by: Lu, Xijun, et al.
Published: (2026)