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20242026
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cs.CV2026

Feed-Forward 3D Scene Modeling: A Problem-Driven Perspective

Weijie Wang, Qihang Cao, Sensen Gao +10

Reconstructing 3D representations from 2D inputs is a fundamental task in computer vision and graphics, serving as a cornerstone for understanding and interacting with the physical…

cs.CV2026

SPATIALALIGN: Aligning Dynamic Spatial Relationships in Video Generation

Fengming Liu, Tat-Jen Cham, Chuanxia Zheng

Most text-to-video (T2V) generators prioritize aesthetic quality, but often ignoring the spatial constraints in the generated videos. In this work, we present SPATIALALIGN, a self-…

cs.CV20254 cited

PanoDiffusion: 360-degree Panorama Outpainting via Diffusion

Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham

Generating complete 360-degree panoramas from narrow field of view images is ongoing research as omnidirectional RGB data is not readily available. Existing GAN-based approaches fa…

cs.CV2025

Explicit Correspondence Matching for Generalizable Neural Radiance Fields

Yuedong Chen, Haofei Xu, Qianyi Wu +3

We present a new generalizable NeRF method that is able to directly generalize to new unseen scenarios and perform novel view synthesis with as few as two source views. The key to…

cs.CV2025

Semantix: An Energy Guided Sampler for Semantic Style Transfer

Huiang He, Minghui Hu, Chuanxia Zheng +2

Recent advances in style and appearance transfer are impressive, but most methods isolate global style and local appearance transfer, neglecting semantic correspondence. Additional…

cs.CV2025

Amodal3R: Amodal 3D Reconstruction from Occluded 2D Images

Tianhao Wu, Chuanxia Zheng, Frank Guan +2

Most image-based 3D object reconstructors assume that objects are fully visible, ignoring occlusions that commonly occur in real-world scenarios. In this paper, we introduce Amodal…