most citedSeeing is Coding: On the Effectiveness of Vision Language Models in Code Understanding

1 citations · 1 across the 1 of their papers we have counts for

collaborators

9 papers

cs.CL20261 cited

Seeing is Coding: On the Effectiveness of Vision Language Models in Code Understanding

Yuling Shi, Chaoxiang Xie, Zhensu Sun +7

Large Language Models (LLMs) have achieved remarkable success in source code understanding, yet as software systems grow in scale, computational efficiency has become a critical bo…

cs.CV2025

Plan-X: Instruct Video Generation via Semantic Planning

Lun Huang, You Xie, Hongyi Xu +7

Diffusion Transformers have demonstrated remarkable capabilities in visual synthesis, yet they often struggle with high-level semantic reasoning and long-horizon planning. This lim…

cs.CV2025

X-Streamer: Unified Human World Modeling with Audiovisual Interaction

You Xie, Tianpei Gu, Zenan Li +7

We introduce X-Streamer, an end-to-end multimodal human world modeling framework for building digital human agents capable of infinite interactions across text, speech, and video w…

cs.CV2025

X-UniMotion: Animating Human Images with Expressive, Unified and Identity-Agnostic Motion Latents

Guoxian Song, Hongyi Xu, Xiaochen Zhao +5

We present X-UniMotion, a unified and expressive implicit latent representation for whole-body human motion, encompassing facial expressions, body poses, and hand gestures. Unlike…

cs.CV2025

X-Actor: Emotional and Expressive Long-Range Portrait Acting from Audio

Chenxu Zhang, Zenan Li, Hongyi Xu +8

We present X-Actor, a novel audio-driven portrait animation framework that generates lifelike, emotionally expressive talking head videos from a single reference image and an input…

cs.CV2025

X-NeMo: Expressive Neural Motion Reenactment via Disentangled Latent Attention

Xiaochen Zhao, Hongyi Xu, Guoxian Song +6

We propose X-NeMo, a novel zero-shot diffusion-based portrait animation pipeline that animates a static portrait using facial movements from a driving video of a different individu…