activity
20232026
most citedStructure-guided Diffusion Transformer for Low-Light Image Enhancement

5 citations · 6 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Stable Curves, Unstable Items: Item-Level Scaling Heterogeneity in Video LLMs

Wenzhang Sun, Chunfeng Wang, Xiangchen Yin +3

Aggregate scaling curves suggest that Video LLMs improve smoothly or saturate as visual budgets grow. We show that this view can conceal large, opposing changes at the item level.…

cs.CV2026

Holo-World: Unified Camera, Object and Weather Control for Video World Model

Xiangchen Yin, Wenzhang Sun, Jiahui Yuan +6

Video world models are moving toward preserving an observed world under controllable camera and object motion while allowing its environmental state to change. Yet these controls r…

cs.CV2026

Preserve, Reveal, Expand: Towards Faithful 4D Video Editing with Region-Aware Conditioning and Benchmarking

Zhangchi Hu, Wenzhang Sun, Xiangchen Yin +5

While 4D-driven video diffusion models can generate visually plausible videos, faithful 4D editing poses a stricter requirement: source-observed content should be preserved, while…

cs.CV2026

RiO-DETR: DETR for Real-time Oriented Object Detection

Zhangchi Hu, Yifan Zhao, Yansong Peng +8

We present RiO-DETR: DETR for Real-time Oriented Object Detection, the first real-time oriented detection transformer to the best of our knowledge. Adapting DETR to oriented boundi…

cs.CV2025

DeCo-VAE: Learning Compact Latents for Video Reconstruction via Decoupled Representation

Xiangchen Yin, Jiahui Yuan, Zhangchi Hu +5

Existing video Variational Autoencoders (VAEs) generally overlook the similarity between frame contents, leading to redundant latent modeling. In this paper, we propose decoupled V…

cs.CV2025★ 5 cited

Structure-guided Diffusion Transformer for Low-Light Image Enhancement

Xiangchen Yin, Zhenda Yu, Longtao Jiang +4

While the diffusion transformer (DiT) has become a focal point of interest in recent years, its application in low-light image enhancement remains a blank area for exploration. Cur…

cs.CV2024

GRPose: Learning Graph Relations for Human Image Generation with Pose Priors

Xiangchen Yin, Donglin Di, Lei Fan +6

Recent methods using diffusion models have made significant progress in human image generation with various control signals such as pose priors. However, existing efforts are still…

cs.CV2023★ 1 cited

DEFormer: DCT-driven Enhancement Transformer for Low-light Image and Dark Vision

Xiangchen Yin, Zhenda Yu, Xin Gao +1

Low-light image enhancement restores the colors and details of a single image and improves high-level visual tasks. However, restoring the lost details in the dark area is still a…