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20242026
most citedTowards Faster Training of Diffusion Models: An Inspiration of A Consistency Phenomenon

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cs.CV2025

STANCE: Motion Coherent Video Generation Via Sparse-to-Dense Anchored Encoding

Zhifei Chen, Tianshuo Xu, Leyi Wu +6

Video generation has recently made striking visual progress, but maintaining coherent object motion and interactions remains difficult. We trace two practical bottlenecks: (i) huma…

cs.CV2025

UniCalli: A Unified Diffusion Framework for Column-Level Generation and Recognition of Chinese Calligraphy

Tianshuo Xu, Kai Wang, Zhifei Chen +4

Computational replication of Chinese calligraphy remains challenging. Existing methods falter, either creating high-quality isolated characters while ignoring page-level aesthetics…

cs.CV2025

4D Driving Scene Generation With Stereo Forcing

Hao Lu, Zhuang Ma, Guangfeng Jiang +6

Current generative models struggle to synthesize dynamic 4D driving scenes that simultaneously support temporal extrapolation and spatial novel view synthesis (NVS) without per-sce…

cs.CV2025

SDPose: Exploiting Diffusion Priors for Out-of-Domain and Robust Pose Estimation

Shuang Liang, Jing He, Chuanmeizhi Wang +4

Pre-trained diffusion models provide rich latent features across U-Net levels and are emerging as powerful vision backbones. While prior works such as Marigold and Lotus repurpose…

cs.GR2025

FlexPainter: Flexible and Multi-View Consistent Texture Generation

Dongyu Yan, Leyi Wu, Jiantao Lin +7

Texture map production is an important part of 3D modeling and determines the rendering quality. Recently, diffusion-based methods have opened a new way for texture generation. How…

cs.RO2025

Occ-LLM: Enhancing Autonomous Driving with Occupancy-Based Large Language Models

Tianshuo Xu, Hao Lu, Xu Yan +3

Large Language Models (LLMs) have made substantial advancements in the field of robotic and autonomous driving. This study presents the first Occupancy-based Large Language Model (…