Few-Step Generation

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2 papers in the last 28 days · 0.1% of indexed attention

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Period ending 2026-09-07

5 new papers

A weekly snapshot of new work published in Few-Step Generation.

61 papers

Latest in Few-Step Generation

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Zing-0.5: Toward Playable Worlds with Real-Time Joint Action and Text Control
Sep 15, 2026Mingyang Chen, Shengdong Chen, Xiaoxiao Fu +13Agentic Control Few-Step Generation
Discrete Beckmann Transport Models for One-Step Language Modeling and Reasoning
Sep 14, 2026Sophia Tang, Shiyi WangDiffusion Language Models Autoregressive Language Models
FlashRender: Few-Step Generative Rendering via Camera-Controlled Video MeanFlow
Sep 3, 2026Byeongjun Park, Byung-Hoon Kim, Hyungjin ChungControllable Video Generation Camera Control
A Lagrangian View of Flow Matching
Aug 31, 2026Peyman MilanfarAdjoint Matching Generative Models
GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors
Aug 12, 2026Jiazheng Liu, Hang Li, Jiawei Zhang +5High-Fidelity Video Generation Few-Step Generation
Stream Forcing: Constructing Unified Training Trajectory for Robust Streaming Video Generation
Aug 11, 2026Yueting Zhu, Yuehao Song, Kaicheng Zhang +5Few-Step Generation Training-Inference Mismatch
Hierarchical Flow Matching for 3D Point Cloud Generation
Aug 6, 2026Linhao Wang, Qichang Zhang, Ye Su +1Hierarchical Flow Matching Non-Rigid Shape Matching
DAC-Pose: Dual-Agent Collaborative Framework for Pose-Guided Human Generation
Aug 5, 2026Haotian Yang, Zhile Yang, Huiyu Zhou +1Multi-View Diffusion Model Controllable Video Generation
MT-Web2Code: Benchmarking Coding Agents on Multi-Turn Regional Reconstruction and Localized Modification
Aug 4, 2026Qiming Li, Shujie Hu, Haohan Liu +3Coding Agents Evaluation Benchmarks
Latent-Kernel Discrete Flow Maps for Few-Step Generation
Jul 29, 2026Mansoor Ahmed, Yue-Tsz Fan, Hemanth Venkateswara +1Few-Step Generation Generative Flow Networks
LeapTalk: Breaking the Latency-Quality Trade-off in Talking Head Generation
Jul 29, 2026Rongxiang Zhang, Songhua LiuTalk Few-Step Generation
Parallel Decoding Distillation for Fast Image and Video Generation
Jul 28, 2026Neta Shaul, Chao Liu, Arash Vahdat +1Few-Step Generation Chain-Of-Thought Distillation
AptAvatar: Fast and Vivid Long-Form Audio-Driven Video Generation for Production-Ready Avatars
Jul 27, 2026Hengyuan Zhang, Jingna Sun, Meiguang Jin +1Joint Audio-Video Generation High-Fidelity Avatar
Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention
Jul 23, 2026Zekun Li, Xiaoyan Cong, Hongyu Li +5Pre-Trained Video Diffusion Models Few-Step Generation
Multi-Mask Diffusion Language Models for Few-Step Generation
Jul 22, 2026Sijin Chen, Yinuo Ren, Heyang Zhao +3Masked Diffusion Language Models Diffusion Language Models
Dynamic-in-Few-Step: Unifying Dynamic Computation and Few-Step Distillation for Efficient Video Generation
Jul 7, 2026Yu Cheng, Siyue Yao, Zhongang Qi +3Few-Step Generation Sparsity
MV-Forcing: Long Multi-View Video Generation via 4D-Grounded Spatio-Temporal Self-Forcing
Jul 6, 2026Gal Fiebelman, Hadar Averbuch-Elor, Sagie BenaimFew-Step Generation Feed-Forward 3D Reconstruction
Aura: Consistent Multi-Subject Video Generation via VLM-Grounded Semantic Alignment
Jul 5, 2026Zixiang Zhou, Zhentao Yu, Yifeng Ma +9Video Dataset Few-Step Generation
Tensor-Train Joint Modeling for Few-Step Discrete Diffusion
Jul 4, 2026Byoungkwon Kim, Minhyuk SungFew-Step Generation
Perceptual Flow Matching for Few-Step Generative Modeling
Jul 3, 2026Chuyang Zhao, Yifei Song, Hongfa Wang +7Few-Step Generation Generative Models
Why Do Few-Step Text Latents Fail When Image Latents Work? Non-Commitment at Sharp Categorical Readouts
Jun 29, 2026Zhongyao WangVideo Latents Few-Step Generation
Multi-Block Diffusion Language Models
Jun 28, 2026Yijie Jin, Jiajun Xu, Yuxuan Liu +8Diffusion Language Models Few-Step Generation
Flow Reasoning Models: Turning Flows Into Efficient Recurrent Reasoners
Jun 28, 2026Alec Helbling, Andrey Bryutkin, Mauro Martino +3Large Reasoning Models Large Behavior Model
Masked Language Flow Models
Jun 26, 2026Iskander Azangulov, Kianoosh Ashouritaklimi, Leo Zhang +2Masked Diffusion Language Models Generative Flow Networks
Data-Forcing Distillation: Restoring Diversity and Fidelity in Few-Step Video Generation
Jun 16, 2026Siyi Chen, Shaowei Liu, Yixuan Jia +4Pre-Trained Video Diffusion Models Large-Scale Video Generation Models
AudioX-Turbo: A Unified Framework for Efficient Anything-to-Audio Generation
Jun 10, 2026Zeyue Tian, Lei Ke, Zhaoyang Liu +8Joint Audio-Video Generation Multimodal Generation
Mean Flow Distillation: Robust and Stable Distillation for Flow Matching Models
Jun 9, 2026An Zhao, Shengyuan Zhang, Zhongjian Sun +5Hierarchical Flow Matching Conditional Flow Matching
Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
Jun 4, 2026Woojung Han, Seil Kang, Youngjun Jun +3Pre-Trained Video Diffusion Models Denoising Trajectory
Generate in Reconstruction Space, Match in Semantic Space: Transport Geometry for One-Step Generation
May 30, 2026Hugues Van Assel, Edward De Brouwer, Saeed Saremi +2Few-Step Generation Self-Supervised Representations
IP-Adapter Is All You Need: Towards Fine-Tuning-Free Diffusion-Based Talking Face Generation
May 28, 2026Hao Wu, Xiangyang Luo, Hao Wang +3Object Articulation Few-Step Generation
Dasheng AudioGen: A Unified Model for Generating Coherent Audio Scenes from Text
May 27, 2026Jiahao Mei, Heinrich Dinkel, Yadong Niu +7Joint Audio-Video Generation Audio Latent
CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation
May 25, 2026Fangtai Wu, Hailong Guo, Shijie Huang +7Low-Rank Adaptation Few-Step Generation
Bilevel Optimization of Synthetic Trajectories for Multi-Turn LLM Fine-Tuning
May 23, 2026Shresth Verma, Mauricio Tec, Cheol Woo Kim +2Large Language Model Fine-Tuning Offline Reinforcement Learning
HyperGuide: Hyperbolic Guidance for Efficient Multi-Step Reasoning in Large Language Models
May 22, 2026Yuyu Liu, Haotian Xu, Yanan He +3Large Language Model Reasoning Few-Step Generation
One-Forcing: Towards Stable One-Step Autoregressive Video Generation
May 22, 2026Jiaqi Feng, Justin Cui, Yuanhao Ban +1Autoregressive Video Generation Few-Step Generation
Decomposing Subject-Driven Image Generation via Intermediate Structural Prediction
May 20, 2026Hanzhong Guo, Yizhou YuText-To-Image Few-Step Generation
AtlasVid: Efficient Ultra-High-Resolution Long Video Generation via Decoupled Global-Local Modeling
May 15, 2026Ziyang Mai, Yuyao Zhang, Yu-Wing TaiLong Video Generation Few-Step Generation
Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning
May 14, 2026Hanbo Cheng, Limin Lin, Ruo Zhang +2Visual Generation Text-To-Image
AnyFlow: Any-Step Video Diffusion Model with On-Policy Flow Map Distillation
May 13, 2026Yuchao Gu, Guian Fang, Yuxin Jiang +4Autoregressive Video Diffusion Few-Step Generation
DirectTryOn: One-Step Virtual Try-On via Straightened Conditional Transport
May 13, 2026Xianbing Sun, Jiahui Zhan, Liqing Zhang +1Virtual Try-On Few-Step Generation
Discrete MeanFlow: One-Step Generation via Conditional Transition Kernels
May 12, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Md Sajid Ahmed +2Generative Flow Networks Few-Step Generation
STRIDE: Training-Free Diversity Guidance via PCA-Directed Feature Perturbation in Single-Step Diffusion Models
May 12, 2026Ankit Yadav, Arpit Garg, Ta Duc Huy +1Discrete Diffusion Model Few-Step Generation
Infinite Mask Diffusion for Few-Step Distillation
May 11, 2026Jaehoon Yoo, Wonjung Kim, Chanhyuk Lee +1Masked Diffusion Language Models Diffusion Language Models
ECTraj: Enhanced Consistency Training for Multi-Agent Trajectory Prediction
May 9, 2026Alen Mrdovic, Qingze, Liu +6Trajectory Prediction Trajectory Prediction
Trajectory as the Teacher: Few-Step Discrete Flow Matching via Energy-Navigated Distillation
May 8, 2026Amin Karimi Monsefi, Dominic Culver, Nikhil Bhendawade +3Conditional Flow Matching Few-Step Generation
Not All Tokens Need 40 Steps: Heterogeneous Step Allocation in Diffusion Transformers for Efficient Video Generation
May 7, 2026Ernie Chu, Vishal M. PatelPre-Trained Video Diffusion Models Few-Step Generation
Stream-T1: Test-Time Scaling for Streaming Video Generation
May 6, 2026Yijing Tu, Shaojin Wu, Mengqi Huang +4High-Fidelity Video Generation Few-Step Generation
AdvDMD: Adversarial Reward Meets DMD For High-Quality Few-Step Generation
Apr 29, 2026Xu Wang, Zexian Li, Litong Gong +2Few-Step Generation Ad
Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation
Apr 28, 2026Yupeng Zhou, Lianghua Huang, Zhifan Wu +7Few-Step Generation Self-Evolution
MuSS: A Large-Scale Dataset and Cinematic Narrative Benchmark for Multi-Shot Subject-to-Video Generation
Apr 26, 2026Haojie Zhang, Di Wu, Bingyan Liu +5Video Dataset Films
Efficient Diffusion Distillation via Embedding Loss
Apr 24, 2026Jincheng Ying, Yitao Chen, Li Wenlin +2Discrete Diffusion Model Few-Step Generation
SketchVLM: Vision language models can annotate images to explain thoughts and guide users
Apr 23, 2026Brandon Collins, Logan Bolton, Hung Huy Nguyen +3Visual Reasoning Sketches
Seed3D 2.0: Advancing High-Fidelity Simulation-Ready 3D Content Generation
Apr 22, 2026Diandian Gu, Jing Lin, Gaohong Liu +253D Generation 3D Object Understanding
Guiding Distribution Matching Distillation with Gradient-Based Reinforcement Learning
Apr 21, 2026Linwei Dong, Ruoyu Guo, Ge Bai +3Few-Step Generation
Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation
Apr 20, 2026Chenxi Zhao, Chen Zhu, Xiaokun Feng +6Few-Step Generation Image Generation
Reward-Aware Trajectory Shaping for Few-step Visual Generation
Apr 16, 2026Rui Li, Bingyu Li, Yuanzhi Liang +3Few-Step Generation Visual Generation
TurboTalk: Progressive Distillation for One-Step Audio-Driven Talking Avatar Generation
Apr 16, 2026Xiangyu Liu, Feng Gao, Xiaomei Zhang +4Joint Audio-Video Generation Pre-Trained Video Diffusion Models
Few-Step Diffusion Language Models via Trajectory Self-Distillation
Feb 12, 2026Tunyu Zhang, Xinxi Zhang, Ligong Han +10Diffusion Language Models Few-Step Generation
Compositional Machine Design as Program Synthesis with LLMs
Oct 16, 2025Wenqian Zhang, Yangyi Huang, Weiyang Liu +1Mock-Interface Synthesis Large Language
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
May 28, 2025Yi Zhang, Peng Wang, Difan ZouPartial Differential Equation Benchmarks Generative Models

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

Zing-0.5: Toward Playable Worlds with Real-Time Joint Action and Text Control

Mingyang Chen, Shengdong Chen, Xiaoxiao Fu, Bosheng Gong+12

We introduce Zing-0.5, a 5B autoregressive world model designed for playability: users can explore generated worlds, influence unfolding events, and respond to the resulting feedback through joint keyboard and online text control. Our approach brings together three technical contributions: (1) Unified action and text conditioning, combining magnitude-aware keyboard inputs with temporally aligned text instructions and jointly annotated videos to learn navigation and event control within the same sequence; (2) Event-scale supervision for incremental generation, using a segment-level teacher trained on connected multi-prompt videos to supervise a block-level causal student through distribution-matching distillation; and (3) Low-cost real-time interaction, combining four-step generation with context-preserving streaming to support 832 x 480 inference at 24 FPS at an estimated server rental cost of approximately USD 0.009 per stream-minute. Zing-0.5 achieves an overall score of 81.0 and a consistency score of 88.5 across 158 WBench Navigation cases. A joint-control demonstration shows a text-directed event change during continued navigation without restarting generation. We release the model weights, inference code, and Zing-SGLang serving implementation to support further work on playable generated worlds.

Agentic Control Few-Step Generation Public Neuroqwerty Process-Level Supervision Autoregressive Model

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