Proposed a new diffusion transformer architecture using static text anchors for efficient multi-reference image editing, achieving a 3.92x speedup.

Yangshuai Liu, Zheming Li, Jiaao Li et al.

AESR combines global prompt enhancement and semantic repair to improve identity-preserving video generation.

Jiayi Gao, Changcheng Hua, Jiaqi Tang et al.

ArtiMo employs large models for zero-shot text-guided articulated mesh animation, integrating URDF constraints and causal reasoning.

Chunyu Zou, Peng Dai, Yi-Hua Huang et al.

TopoSurfel introduces a differentiable mesh extraction and mesh-guided surfel evolution, achieving high-precision surface reconstruction with Chamfer Distance 0.70M and F1-Score 0.64, outperforming baselines.

Chuanjin Fan, Wenjie Chang, Bohao Liao et al.

4DAnyone uses skeleton-conditioned diffusion with RCP and TCR to generate consistent multi-view 4D human videos from monocular input.

Yudong Jin, Tao Xie, Qihang Zhang et al.

Inter-X++ uses hybrid motion capture to create 11,388 high-fidelity human interaction sequences, establishing a unified benchmark for perception and generation tasks.

Liang Xu, Chengqun Yang, Zili Lin et al.

DreamHand leverages pretrained video diffusion models as geometry encoders for occlusion-robust 3D hand tracking, outperforming state-of-the-art by 30-40%.

Yufei Liu, Xixi Wang, Hao Li et al.

CalcSeg employs confidence-aware semi-supervised curriculum learning with 3D latent context to improve myocardial scar segmentation from single-stack LGE-CMR, achieving a Dice of 0.677.

Nivetha Jayakumar, Hannah Kim, Amit R. Patel et al.

Joint visual-trajectory model predicts future surgical scenes and instrument paths, improving long-horizon forecasting with chunked autoregressive strategy.

Weiliang Huang, Huanrong Liu, Bob Zhang et al.

FigmaTrace enhances VLMs in design tasks using a design phase conversion method.

Darshan Deshpande, Yoshinari Fujinuma, Martyna Markiewicz et al.

TextRefine combines supervised fine-tuning and reward optimization to enhance textual fidelity and placement accuracy in product poster editing.

Honglie Wang, Jia Sun, Zijun Li et al.

HiRA-CAM enhances CNN explanations by hierarchical region agreement, outperforming LayerCAM and Grad-CAM with more stable, fine-grained saliency maps.

Manasi Nerurkar, Ali A. Minai

Proposes DistScan, detecting backdoors via pre-NMS class distribution shift, achieving 97.22% accuracy.

Longtian Wang, Zhengyu Zhao, Chenhao Lin et al.

SiConMo reaches 34.8 mIoU on ADE20K at 0.6 GFLOPs by concentrating local–global context modeling in the bottleneck.

Mian Muhammad Naeem Abid, Nancy Mehta, Zongwei Wu et al.

VA-Judger employs chain-of-thought reasoning and multi-dimensional reinforcement learning to align video-audio generation with human preferences, outperforming metric-based rewards.

Yinming Huang, Shuyuan Tu, Xi Yan et al.

Proposes a capability-centric data infrastructure with multi-stage curriculum scheduling, curating 440M images for generalist image generation, enabling effective multi-capability transfer.

Xingjian Wang, Zhao Wang, Taihang Hu et al.

Proposes a plug-and-play traffic element awareness framework that significantly improves end-to-end autonomous driving across various models, with detailed 3D detection and topological encoding.

Zongzheng Zhang, Jijun Wang, Saining Zhang et al.

GS-Voxel: Fitting-free structured latents for large-scale 3DGS generation, supporting millions of voxels.

Ming Qian, Zijian Wang, Minchao Sun et al.

Proposes 'Entry Point Gates' to control cross-task usability; finds that binding location in understanding pathways enables concept transfer with minimal cost.

Zongyang Qiu, Yihan Wu, Kaixuan Fan et al.

PixRestore is a VAE-free pixel-space diffusion transformer with 50M parameters, enabling single-step high-fidelity image restoration.

Lingchen Sun, Rongyuan Wu, Xiangtao Kong et al.