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20212026
most citedPeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers

32 citations · 67 across the 22 of their papers we have counts for

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Showing 2024 · cs.CVShow all

7 papers · 2 filters

cs.CV2024

MageBench: Bridging Large Multimodal Models to Agents

Miaosen Zhang, Qi Dai, Yifan Yang +6

LMMs have shown impressive visual understanding capabilities, with the potential to be applied in agents, which demand strong reasoning and planning abilities. Nevertheless, existi…

cs.CV2024★ 1 cited

RodinHD: High-Fidelity 3D Avatar Generation with Diffusion Models

Bowen Zhang, Yiji Cheng, Chunyu Wang +6

We present RodinHD, which can generate high-fidelity 3D avatars from a portrait image. Existing methods fail to capture intricate details such as hairstyles which we tackle in this…

cs.CV2024

Improved Noise Schedule for Diffusion Training

Tiankai Hang, Shuyang Gu, Xin Geng +1

Diffusion models have emerged as the de facto choice for generating high-quality visual signals across various domains. However, training a single model to predict noise across var…

cs.CV2024

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms

Miaosen Zhang, Yixuan Wei, Zhen Xing +8

Modern vision models are trained on very large noisy datasets. While these models acquire strong capabilities, they may not follow the user's intent to output the desired results i…

cs.CV2024★ 9 cited

VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time

Sicheng Xu, Guojun Chen, Yu-Xiao Guo +6

We introduce VASA, a framework for generating lifelike talking faces with appealing visual affective skills (VAS) given a single static image and a speech audio clip. Our premiere…

cs.CV2024★ 2 cited

GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling

Bowen Zhang, Yiji Cheng, Jiaolong Yang +5

We introduce a radiance representation that is both structured and fully explicit and thus greatly facilitates 3D generative modeling. Existing radiance representations either requ…

cs.CV2024★ 4 cited

CCA: Collaborative Competitive Agents for Image Editing

Tiankai Hang, Shuyang Gu, Dong Chen +2

This paper presents a novel generative model, Collaborative Competitive Agents (CCA), which leverages the capabilities of multiple Large Language Models (LLMs) based agents to exec…