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20182026
most citedBoosting Image Outpainting with Semantic Layout Prediction

3 citations · 3 across the 5 of their papers we have counts for

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cs.CV2026

StreamCacheVGGT: Streaming Visual Geometry Transformers with Robust Scoring and Hybrid Cache Compression

Xuanyi Liu, Chunan Yu, Deyi Ji +6

Reconstructing dense 3D geometry from continuous video streams requires stable inference under a constant memory budget. Existing frameworks primarily rely on a ``pure evict…

cs.CV2026

Seedance 2.0: Advancing Video Generation for World Complexity

Team Seedance, De Chen, Liyang Chen +168

Seedance 2.0 is a new native multi-modal audio-video generation model, officially released in China in early February 2026. Compared with its predecessors, Seedance 1.0 and 1.5 Pro…

cs.CV2026

Robust 4D Visual Geometry Transformer with Uncertainty-Aware Priors

Ying Zang, Yidong Han, Chaotao Ding +8

Reconstructing dynamic 4D scenes is an important yet challenging task. While 3D foundation models like VGGT excel in static settings, they often struggle with dynamic sequences whe…

cs.CV2022

Coarse-to-fine Task-driven Inpainting for Geoscience Images

Huiming Sun, Jin Ma, Qing Guo +4

The processing and recognition of geoscience images have wide applications. Most of existing researches focus on understanding the high-quality geoscience images by assuming that a…

cs.CV20213 cited

Boosting Image Outpainting with Semantic Layout Prediction

Ye Ma, Jin Ma, Min Zhou +4

The objective of image outpainting is to extend image current border and generate new regions based on known ones. Previous methods adopt generative adversarial networks (GANs) to…