| 1 |
Surgical-DINO: Adapter Learning of Foundation Models for Depth Estimation in Endoscopic Surgery |
提出Surgical-DINO以解决内窥镜手术中的深度估计问题 |
depth estimation 3D reconstruction foundation model |
✅ |
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| 2 |
GO-NeRF: Generating Objects in Neural Radiance Fields for Virtual Reality Content Creation |
提出GO-NeRF以解决虚拟环境中3D对象生成与集成问题 |
NeRF neural radiance field |
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| 3 |
TRIPS: Trilinear Point Splatting for Real-Time Radiance Field Rendering |
提出TRIPS以解决实时辐射场渲染中的模糊和不稳定问题 |
3D gaussian splatting gaussian splatting splatting |
✅ |
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| 4 |
YOIO: You Only Iterate Once by mining and fusing multiple necessary global information in the optical flow estimation |
提出YOIO框架以解决光流估计中的遮挡问题 |
optical flow spatiotemporal |
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| 5 |
TriNeRFLet: A Wavelet Based Triplane NeRF Representation |
提出TriNeRFLet以解决三维恢复质量不足问题 |
NeRF neural radiance field |
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| 6 |
A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy |
研究自监督预训练以提升胃肠内窥镜视觉任务性能 |
depth estimation monocular depth |
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| 7 |
Gaussian Shadow Casting for Neural Characters |
提出高斯阴影投射模型以解决神经角色阴影缺失问题 |
gaussian splatting splatting |
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| 8 |
Fast High Dynamic Range Radiance Fields for Dynamic Scenes |
提出HDR-HexPlane以解决动态场景中的高动态范围图像合成问题 |
NeRF |
✅ |
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| 9 |
RAVEN: Rethinking Adversarial Video Generation with Efficient Tri-plane Networks |
提出RAVEN以高效生成长视频并解决时空依赖问题 |
optical flow |
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| 10 |
Learning Segmented 3D Gaussians via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation |
提出紧凑分段3D高斯模型以解决零样本神经场景分割问题 |
scene understanding |
✅ |
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