16 citations · 22 across the 10 of their papers we have counts for
11 papers · 1 filter
Seeing is Free, Speaking is Not: Uncovering the True Energy Bottleneck in Edge VLM Inference
Junfei Zhan, Haoxun Shen, Mingang Guo +2
Vision-Language Models (VLMs) are the perceptual backbone of embodied AI, but their energy footprint on edge hardware remains poorly understood. Existing efficiency efforts focus p…
How Much 3D Do Video Foundation Models Encode?
Zixuan Huang, Xiang Li, Zhaoyang Lv +1
Videos are continuous 2D projections of 3D worlds. After training on large video data, will global 3D understanding naturally emerge? We study this by quantifying the 3D understand…
Cue3D: Quantifying the Role of Image Cues in Single-Image 3D Generation
Xiang Li, Zirui Wang, Zixuan Huang +1
Humans and traditional computer vision methods rely on a diverse set of monocular cues to infer 3D structure from a single image, such as shading, texture, silhouette, etc. While r…
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models
Anh Thai, Stefan Stojanov, Zixuan Huang +2
This paper introduces MEBench, a novel benchmark for evaluating mutual exclusivity (ME) bias, a cognitive phenomenon observed in children during word learning. Unlike traditional M…
SPAR3D: Stable Point-Aware Reconstruction of 3D Objects from Single Images
Zixuan Huang, Mark Boss, Aaryaman Vasishta +2
We study the problem of single-image 3D object reconstruction. Recent works have diverged into two directions: regression-based modeling and generative modeling. Regression methods…
Symmetry Strikes Back: From Single-Image Symmetry Detection to 3D Generation
Xiang Li, Zixuan Huang, Anh Thai +1
Symmetry is a ubiquitous and fundamental property in the visual world, serving as a critical cue for perception and structure interpretation. This paper investigates the detection…
SF3D: Stable Fast 3D Mesh Reconstruction with UV-unwrapping and Illumination Disentanglement
Mark Boss, Zixuan Huang, Aaryaman Vasishta +1
We present SF3D, a novel method for rapid and high-quality textured object mesh reconstruction from a single image in just 0.5 seconds. Unlike most existing approaches, SF3D is exp…
PointInfinity: Resolution-Invariant Point Diffusion Models
Zixuan Huang, Justin Johnson, Shoubhik Debnath +2
We present PointInfinity, an efficient family of point cloud diffusion models. Our core idea is to use a transformer-based architecture with a fixed-size, resolution-invariant late…
TripoSR: Fast 3D Object Reconstruction from a Single Image
Dmitry Tochilkin, David Pankratz, Zexiang Liu +7
This technical report introduces TripoSR, a 3D reconstruction model leveraging transformer architecture for fast feed-forward 3D generation, producing 3D mesh from a single image i…
ZeroShape: Regression-based Zero-shot Shape Reconstruction
Zixuan Huang, Stefan Stojanov, Anh Thai +2
We study the problem of single-image zero-shot 3D shape reconstruction. Recent works learn zero-shot shape reconstruction through generative modeling of 3D assets, but these models…
Low-shot Object Learning with Mutual Exclusivity Bias
Anh Thai, Ahmad Humayun, Stefan Stojanov +3
This paper introduces Low-shot Object Learning with Mutual Exclusivity Bias (LSME), the first computational framing of mutual exclusivity bias, a phenomenon commonly observed in in…