2 citations · 7 across the 8 of their papers we have counts for
8 papers
Probing Visual Language Priors in VLMs
Tiange Luo, Ang Cao, Gunhee Lee +2
Despite recent advances in Vision-Language Models (VLMs), they may over-rely on visual language priors existing in their training data rather than true visual reasoning. To investi…
Meta 3D Gen
Raphael Bensadoun, Tom Monnier, Yanir Kleiman +17
We introduce Meta 3D Gen (3DGen), a new state-of-the-art, fast pipeline for text-to-3D asset generation. 3DGen offers 3D asset creation with high prompt fidelity and high-quality 3…
Lightplane: Highly-Scalable Components for Neural 3D Fields
Ang Cao, Justin Johnson, Andrea Vedaldi +1
Contemporary 3D research, particularly in reconstruction and generation, heavily relies on 2D images for inputs or supervision. However, current designs for these 2D-3D mapping are…
Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models
Lukas Höllein, Ang Cao, Andrew Owens +2
We present Text2Room, a method for generating room-scale textured 3D meshes from a given text prompt as input. To this end, we leverage pre-trained 2D text-to-image models to synth…
HexPlane: A Fast Representation for Dynamic Scenes
Ang Cao, Justin Johnson
Modeling and re-rendering dynamic 3D scenes is a challenging task in 3D vision. Prior approaches build on NeRF and rely on implicit representations. This is slow since it requires…
FWD: Real-time Novel View Synthesis with Forward Warping and Depth
Ang Cao, Chris Rockwell, Justin Johnson
Novel view synthesis (NVS) is a challenging task requiring systems to generate photorealistic images of scenes from new viewpoints, where both quality and speed are important for a…
Inverting and Understanding Object Detectors
Ang Cao, Justin Johnson
As a core problem in computer vision, the performance of object detection has improved drastically in the past few years. Despite their impressive performance, object detectors suf…
Unified Signal Compression Using Generative Adversarial Networks
Bowen Liu, Ang Cao, Hun-seok Kim
We propose a unified compression framework that uses generative adversarial networks (GAN) to compress image and speech signals. The compressed signal is represented by a latent ve…