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20222026
most citedRecDCL: Dual Contrastive Learning for Recommendation

61 citations · 100 across the 28 of their papers we have counts for

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42 papers · 1 filter

cs.CV2026

SCoPE: Sightline-Coordinate Positional Encoding for Video Diffusion Transformers

Minghao Yin, Jiahao Lu, Wenbo Hu +3

Video diffusion transformers address their tokens by position on the pixel-time grid: an address in the tensor, not in the world. The address we would want, the world point a token…

cs.CV2026

Pixal3D: Pixel-Aligned 3D Generation from Images

Dong-Yang Li, Wang Zhao, Yuxin Chen +5

Recent advances in 3D generative models have rapidly improved image-to-3D synthesis quality, enabling higher-resolution geometry and more realistic appearance. Yet fidelity, which…

cs.CV2026

CubeComposer: Spatio-Temporal Autoregressive 4K 360° Video Generation from Perspective Video

Lingen Li, Guangzhi Wang, Xiaoyu Li +5

Generating high-quality 360° panoramic videos from perspective input is one of the crucial applications for virtual reality (VR), whereby high-resolution videos are especially impo…

cs.CV2025

Learning to Reason in 4D: Dynamic Spatial Understanding for Vision Language Models

Shengchao Zhou, Yuxin Chen, Yuying Ge +4

Vision-language models (VLM) excel at general understanding yet remain weak at dynamic spatial reasoning (DSR), i.e., reasoning about the evolvement of object geometry and relation…

cs.CV2025

DepthSync: Diffusion Guidance-Based Depth Synchronization for Scale- and Geometry-Consistent Video Depth Estimation

Yue-Jiang Dong, Wang Zhao, Jiale Xu +2

Diffusion-based video depth estimation methods have achieved remarkable success with strong generalization ability. However, predicting depth for long videos remains challenging. E…

cs.CV2025

GRPO-CARE: Consistency-Aware Reinforcement Learning for Multimodal Reasoning

Yi Chen, Yuying Ge, Rui Wang +4

Recent reinforcement learning approaches, such as outcome-supervised GRPO, have advanced Chain-of-Thought reasoning in large language models (LLMs), yet their adaptation to multimo…