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20222026
most citedScore-based Continuous-time Discrete Diffusion Models

7 citations · 8 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.CV2026

SSD: Spatially Speculative Decoding Accelerates Autoregressive Image Generation

Shilong Xiang, Zirui Zhang, Lijun Yu +1

Autoregressive image models treat images as 1D token sequences, inheriting the next-token factorization of language models. This flattening discards a useful property of images: ne…

cs.CV2026

Archon: A Unified Multimodal Model for Holistic Digital Human Generation

Chong Bao, Shichen Liu, Lijun Yu +9

Digital humans are fundamental to immersive interaction, yet creating a unified model for holistic modalities, including text, audio, motion, and visual content, remains an open ch…

cs.CV2026

Cubic Discrete Diffusion: Discrete Visual Generation on High-Dimensional Representation Tokens

Yuqing Wang, Chuofan Ma, Zhijie Lin +7

Visual generation with discrete tokens has gained significant attention as it enables a unified token prediction paradigm shared with language models, promising seamless multimodal…

cs.CV2025

Rethinking Generative Image Pretraining: How Far Are We From Scaling Up Next-Pixel Prediction?

Xinchen Yan, Chen Liang, Lijun Yu +3

This paper investigates the scaling properties of autoregressive next-pixel prediction, a simple, end-to-end yet under-explored framework for unified vision models. Starting with i…

cs.CV2025

UISim: An Interactive Image-Based UI Simulator for Dynamic Mobile Environments

Jiannan Xiang, Yun Zhu, Lei Shu +6

Developing and testing user interfaces (UIs) and training AI agents to interact with them are challenging due to the dynamic and diverse nature of real-world mobile environments. E…

cs.CV2024

Language-Guided Image Tokenization for Generation

Kaiwen Zha, Lijun Yu, Alireza Fathi +4

Image tokenization, the process of transforming raw image pixels into a compact low-dimensional latent representation, has proven crucial for scalable and efficient image generatio…