Denoising

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Image Denoising

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Discrete Diffusion Model

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Latent Diffusion Model

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Diffusion Sampling

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Score-Based Diffusion Model

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Generative Priors

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Identity-Conditioned Latent Diffusion Models

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Diffusion Priors

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Denoising Diffusion Probabilistic Model

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Denoising Trajectory

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Reward-Guided Diffusion

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Diffusion Dynamics

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1,018 papers

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Efficient Image Synthesis with Sphere Latent Encoder
May 15, 2026Tung Do, Thuan Hoang Nguyen, Hao LiLarge-Scale Image Generation Latent Diffusion Model
Unsupervised 3D Human Pose Estimation via Conditional Multi-view Ancestral Sampling
May 15, 2026Ryohei Goto, Takuya Fujihashi, Shunsuke Saruwatari +13D Pose Estimator Diffusion Priors
LDGuid: A Framework for Robust Change Detection via Latent Difference Guidance
May 15, 2026Jiaxuan Zhao, Ali BereyhiChange Detection Identity-Conditioned Latent Diffusion Models
RefDecoder: Enhancing Visual Generation with Conditional Video Decoding
May 14, 2026Xiang Fan, Yuheng Wang, Bohan Fang +2Variational Autoencoder Latent Diffusion Model
Denoising-GS: Gaussian Splatting with Spatial-aware Denoising
May 14, 2026Qingyuan Zhou, Xinyi Liu, Weidong Yang +5Novel View Synthesis 3D Gaussian Splatting
LPH-VTON: Resolving the Structure-Texture Dilemma of Virtual Try-On via Latent Process Handover
May 14, 2026Yixin Liu, Baihong Qian, Jinglin Jiang +6Virtual Try-On Generative Priors
HDRFace: Rethinking Face Restoration with High-Dimensional Representation
May 14, 2026Zirui Wang, Xianhui Lin, Yi Dong +7Blind Face Restoration Generative Priors
The Velocity Deficit: Initial Energy Injection for Flow Matching
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DiffPhD: A Unified Differentiable Solver for Projective Heterogeneous Materials in Elastodynamics with Contact-Rich GPU-Acceleration
May 14, 2026Shih-Yu Lai, Sung-Han Tien, Jui-I Huang +9Finite Element Method Differentiable Programming
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design
May 14, 2026Ziyu Xu, Zijian Zhang, Liang Wang +4Drug Design Spatial Transcriptomics
AnyBand-Diff: A Unified Remote Sensing Image Generation and Band Repair Framework with Spectral Priors
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May 14, 2026Yifan Chen, Fei Yin, Chunle Guo +2Low-Light Images Image Restoration
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Factorization-Error-Free Discrete Diffusion Language Model via Speculative Decoding
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Support Before Frequency in Discrete Diffusion
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May 13, 2026Iskander Azangulov, Leo ZhangGenerative Flow Networks Diffusion Language Models
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May 13, 2026Konstantinos Soiledis, Maximos Kaliakatsos Papakostas, Dimos Makris +1Identity-Conditioned Latent Diffusion Models Waveforms
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May 13, 2026Boyang Zhang, Zhiguo Wang, Ya-Feng LiuScore-Based Diffusion Model Ill-Posed Inverse Problem
Do Heavy Tails Help Diffusion? On the Subtle Trade-off Between Initialization and Training
May 13, 2026Hamza Cherkaoui, Hélène Halconruy, Antonio OcelloLong-Tailed Distribution Discrete Diffusion Model
Covariance-aware sampling for Diffusion Models
May 13, 2026Andrea Schioppa, Tim SalimansDiffusion Sampling Covariance Estimation
Adaptive Steering and Remasking for Safe Generation in Diffusion Language Models
May 13, 2026Yejin Lee, Yo-Sub HanDiffusion Language Models Autoregressive Language Models
DirectTryOn: One-Step Virtual Try-On via Straightened Conditional Transport
May 13, 2026Xianbing Sun, Jiahui Zhan, Liqing Zhang +1Virtual Try-On Few-Step Generation
The Efficiency Gap in Byte Modeling
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May 12, 2026Xiao Cao, Yuze Li, Youmin Zhang +4Novel View Synthesis Cross-View
Fast Image Super-Resolution via Consistency Rectified Flow
May 12, 2026Jiaqi Xu, Wenbo Li, Haoze Sun +8Generative Super-Resolution Rectified Flow
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May 12, 2026Kenta Vert, Giacomo Meanti, Scott Pesme +2Image Denoising Inverse Problem
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May 12, 2026Ali Falahati, Elliot Creager, Gautam Kamath +1Generative Models Image Denoising
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Multi-Token Residual Prediction
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May 11, 2026Gokul Puthumanaillam, Hao Jiang, Ruben Hernandez +4Diffusion Planning Denoising Trajectory
Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval
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May 10, 2026Hanqun Cao, Aastha Pal, Sophia Tang +4Protein Design Structure-Based Drug Design
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May 10, 2026Ziquan Wei, Tingting Dan, Guorong WuInternational Classification Of Disease Codes Multimodal Clinical Data

May 15, 2026 · cs.CVJ/K move · Enter open · S save

Efficient Image Synthesis with Sphere Latent Encoder

Tung Do, Thuan Hoang Nguyen, Hao Li

Mohamed Bin Zayed University of Artificial Intelligence, UAE

Few-step image generation has seen rapid progress, with consistency and meanflow-based methods significantly reducing the number of sampling steps. Despite their low inference cost, these approaches often suffer from training instability and limited scalability. Sphere Encoder is a recent alternative that produces high-quality images in only a few steps; however, it requires repeated transitions between the pixel space and latent space during inference while jointly optimizing reconstruction and generation within a single architecture. This design leads to computational inefficiency and objective conflict between reconstruction and generation. To address these limitations, we decouple the framework into a fixed pretrained image encoder and a separate latent denoising model trained entirely in a spherical latent space. Our approach eliminates repeated pixel-space operations during training and inference, improving efficiency and allowing reconstruction and generation to specialize independently. On Animal-Faces, Oxford-Flowers and ImageNet-1K datasets, our method significantly outperforms Sphere Encoder in both generation quality and inference speed, while achieving competitive results against strong few-step and multi-step baselines.

Large-Scale Image Generation Latent Diffusion Model Imagenet

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