From the 1 of 65 linked papers with an AI index.
3 citations · 4 across the 15 of their papers we have counts for
18 papers · 1 filter
Using Diffusion Priors for Video Amodal Segmentation
Kaihua Chen, Deva Ramanan, Tarasha Khurana
Object permanence in humans is a fundamental cue that helps in understanding persistence of objects, even when they are fully occluded in the scene. Present day methods in object s…
GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
Baiqi Li, Zhiqiu Lin, Deepak Pathak +8
While text-to-visual models now produce photo-realistic images and videos, they struggle with compositional text prompts involving attributes, relationships, and higher-order reaso…
FlashTex: Fast Relightable Mesh Texturing with LightControlNet
Kangle Deng, Timothy Omernick, Alexander Weiss +4
Manually creating textures for 3D meshes is time-consuming, even for expert visual content creators. We propose a fast approach for automatically texturing an input 3D mesh based o…
Depth-supervised NeRF: Fewer Views and Faster Training for Free
Kangle Deng, Andrew Liu, Jun-Yan Zhu +1
A commonly observed failure mode of Neural Radiance Field (NeRF) is fitting incorrect geometries when given an insufficient number of input views. One potential reason is that stan…
Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection
Mehar Khurana, Neehar Peri, James Hays +1
State-of-the-art 3D object detectors are often trained on massive labeled datasets. However, annotating 3D bounding boxes remains prohibitively expensive and time-consuming, partic…
Revisiting Few-Shot Object Detection with Vision-Language Models
Anish Madan, Neehar Peri, Shu Kong +1
The era of vision-language models (VLMs) trained on web-scale datasets challenges conventional formulations of "open-world" perception. In this work, we revisit the task of few-sho…