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20212026
most citedA-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators

9 citations · 20 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

PhyMotion: Structured 3D Motion Reward for Physics-Grounded Human Video Generation

Yidong Huang, Zun Wang, Han Lin +6

Generating realistic human motion is a central yet unsolved challenge in video generation. While reinforcement learning (RL)-based post-training has driven recent gains in general…

cs.CV2025

Planning with Sketch-Guided Verification for Physics-Aware Video Generation

Yidong Huang, Zun Wang, Han Lin +5

Recent video generation approaches increasingly rely on planning intermediate control signals such as object trajectories to improve temporal coherence and motion fidelity. However…

cs.CV2024★ 1 cited

DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences

Yidong Huang, Jacob Sansom, Ziqiao Ma +2

Recent advancements in foundation models (FMs) have unlocked new prospects in autonomous driving, yet the experimental settings of these studies are preliminary, over-simplified, a…

cs.CV2023★ 3 cited

Inversion-Free Image Editing with Natural Language

Sihan Xu, Yidong Huang, Jiayi Pan +2

Despite recent advances in inversion-based editing, text-guided image manipulation remains challenging for diffusion models. The primary bottlenecks include 1) the time-consuming n…

cs.CV2023★ 7 cited

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation

Sihan Xu, Ziqiao Ma, Yidong Huang +2

Diffusion models (DMs) have enabled breakthroughs in image synthesis tasks but lack an intuitive interface for consistent image-to-image (I2I) translation. Various methods have bee…