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20222026
most citedUnimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation

5 citations · 17 across the 41 of their papers we have counts for

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Showing 2024Show all

9 papers · 1 filter

cs.CV2024

Large Motion Video Autoencoding with Cross-modal Video VAE

Yazhou Xing, Yang Fei, Yingqing He +4

Learning a robust video Variational Autoencoder (VAE) is essential for reducing video redundancy and facilitating efficient video generation. Directly applying image VAEs to indivi…

cs.CV2024★ 1 cited

EVA: An Embodied World Model for Future Video Anticipation

Xiaowei Chi, Chun-Kai Fan, Hengyuan Zhang +8

Video generation models have made significant progress in simulating future states, showcasing their potential as world simulators in embodied scenarios. However, existing models o…

cs.CV2024★ 2 cited

PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing

Peng Li, Wangguandong Zheng, Yuan Liu +9

Detailed and photorealistic 3D human modeling is essential for various applications and has seen tremendous progress. However, full-body reconstruction from a monocular RGB image r…

cs.CV2024★ 1 cited

MMTrail: A Multimodal Trailer Video Dataset with Language and Music Descriptions

Xiaowei Chi, Yatian Wang, Aosong Cheng +16

Massive multi-modality datasets play a significant role in facilitating the success of large video-language models. However, current video-language datasets primarily provide text…

cs.AI2024★ 2 cited

LLMs Meet Multimodal Generation and Editing: A Survey

Yingqing He, Zhaoyang Liu, Jingye Chen +13

With the recent advancement in large language models (LLMs), there is a growing interest in combining LLMs with multimodal learning. Previous surveys of multimodal large language m…

cs.CV2024

Multi-View Large Reconstruction Model via Geometry-Aware Positional Encoding and Attention

Mengfei Li, Xiaoxiao Long, Yixun Liang +6

Despite recent advancements in the Large Reconstruction Model (LRM) demonstrating impressive results, when extending its input from single image to multiple images, it exhibits ine…

cs.CV2024

CoCoGesture: Toward Coherent Co-speech 3D Gesture Generation in the Wild

Xingqun Qi, Hengyuan Zhang, Yatian Wang +10

Deriving co-speech 3D gestures has seen tremendous progress in virtual avatar animation. Yet, the existing methods often produce stiff and unreasonable gestures with unseen human s…

cs.SD2024★ 4 cited

ChatMusician: Understanding and Generating Music Intrinsically with LLM

Ruibin Yuan, Hanfeng Lin, Yi Wang +32

While Large Language Models (LLMs) demonstrate impressive capabilities in text generation, we find that their ability has yet to be generalized to music, humanity's creative langua…

cs.CV2024

DOZE: A Dataset for Open-Vocabulary Zero-Shot Object Navigation in Dynamic Environments

Ji Ma, Hongming Dai, Yao Mu +6

Zero-Shot Object Navigation (ZSON) requires agents to autonomously locate and approach unseen objects in unfamiliar environments and has emerged as a particularly challenging task…