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Found 6 papers, 3 papers with code
VGRP-Bench: Visual Grid Reasoning Puzzle Benchmark for Large Vision-Language Models
Our results reveal that even the state-of-the-art LVLMs struggle with these puzzles, highlighting fundamental limitations in their puzzle-solving capabilities.
UnCommon Objects in 3D
We introduce Uncommon Objects in 3D (uCO3D), a new object-centric dataset for 3D deep learning and 3D generative AI.
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision
Evaluations on various ShapeNet categories demonstrate the ability of our model to generate editable 3D objects of improved fidelity, compared to previous part-based generative approaches that require 3D supervision or models relying on NeRFs.
Generating Part-Aware Editable 3D Shapes Without 3D Supervision
Evaluations on various ShapeNet categories demonstrate the ability of our model to generate editable 3D objects of improved fidelity, compared to previous part-based generative approaches that require 3D supervision or models relying on NeRFs.
Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
Deep neural networks have improved image classification dramatically over the past decade, but have done so by focusing on performance measures that treat all classes other than the ground truth as equally wrong.
A Dataset for Lane Instance Segmentation in Urban Environments
Autonomous vehicles require knowledge of the surrounding road layout, which can be predicted by state-of-the-art CNNs.
