Skip to Content
CSE5519CSE5519 Advances in Computer Vision (Topic E: 2025: Deep Learning for Geometric Computer Vision)

CSE5519 Advances in Computer Vision (Topic E: 2025: Deep Learning for Geometric Computer Vision)

VGGT: Visual Geometry Grounded Transformer

link to paper 

Novelty in VGGT

Use alternating attention to encode the image.

Tip

 VGGT uses a feed-forward neural network that directly infers all key 3D attributes of a scene using alternating attention and is robust to some non-rigid deformations.

I wonder how this model adapts to different light settings for the same image, how the non-Lambertian reflectance is captured, and how this framework can be extended to recover the true color of the objects and evaluate the surface properties of the objects.

Last updated on
CSE5519 Advances in Computer Vision (Topic D: 2025: Image and Video Generation)CSE5519 Advances in Computer Vision (Topic A: 2025: Semantic Segmentation)