CoMoGen employs MaskAdapter and LoRA to enable controllable video synthesis from binary mask sequences, enhancing motion fidelity.

Adil Meric, Lin Geng Foo, Mert Kiray et al.

Proposed DeltaDirect with MoDirect dataset boosts motion direction accuracy from 25.9% to 85.4% on synthetic domain.

Jongseo Lee, Hyuntak Lee, Sunghun Kim et al.

MotiMotion integrates VLM-based reasoning and confidence-aware control for motion-controlled video generation, outperforming baselines on MotiBench.

Lee Hsin-Ying, Hanwen Jiang, Yiqun Mei et al.

DecQ introduces detail-condensing queries to RAEs, boosting reconstruction PSNR to 22.76dB and reducing generation FID to 1.41 with only 3.9% extra computation.

Tianhang Wang, Yitong Chen, Wei Song et al.

WorldKV enables efficient world memory via KV cache retrieval and compression, doubling throughput while maintaining revisit fidelity.

Jung Yi, Minjae Kim, Paul Hyunbin Cho et al.

AnyMo proposes geometry-aware setup-agnostic human motion modeling, achieving 11.7% zero-shot recognition and 28.6% cross-modal retrieval MRR improvements.

Baiyu Chen, Zechen Li, Wilson Wongso et al.

QuantSR+ introduces RBD, QSA, and SFD techniques to achieve ultra-low-bit image super-resolution, outperforming existing methods in accuracy and efficiency.

Haotong Qin, Xudong Ma, Xianglong Liu et al.

PIU uses proximity-guided replacement in Arc2Face to effectively erase target identities, improving privacy protection with minimal impact.

Jose Edgar Hernandez Cancino Estrada, Mauro Díaz Lupone, Žiga Emeršič et al.

NoPo4D employs velocity decomposition within a 4D Gaussian framework for real-time, pose-free multi-view dynamic scene reconstruction, outperforming prior methods.

Matteo Balice, Yanik Kunzi, Chenyangguang Zhang et al.

GenEvolve achieves self-evolving image generation via tool-orchestrated visual experience distillation, enhancing generation quality.

Sixiang Chen, Zhaohu Xing, Tian Ye et al.

FTerViT fully ternarizes all weights and normalization parameters, achieving 82.43% accuracy with 15× compression on ImageNet.

Szymon Ruciński, Pietro Bonazzi, Engin Türetken et al.

ROAR-3D employs a token-wise view router to upgrade pretrained single-view models for multi-view 3D generation, achieving state-of-the-art results.

Hanxiao Sun, Mingxin Yang, Shuhui Yang et al.

Transforming driving VLA into an inverse kinematics framework with future visual prediction and diffusion-based IK network, achieving performance comparable to much larger models.

Junsung Park, Hyunjung Shim

CHOIR uses contact-aware spatial rectification and joint optimization for monocular 4D HOI reconstruction; the supplied text reports no numerical metrics.

Hao Xu, Yilin Liu, Yinqiao Wang et al.

GAMR actively synthesizes virtual outliers and uses geometric regularization to improve robustness against noisy labels, outperforming SOTA on CIFAR datasets with 80% asymmetric noise.

Ningkang Peng, Jingyang Mao, Xiaoqian Peng et al.

HeadKV achieves efficient autoregressive image generation by asymmetric cache allocation across attention heads, significantly improving memory efficiency.

Guotao Liang, Baoquan Zhang, Zhiyuan Wen et al.

MetaEarth-MM enables unified generation and translation of remote sensing images across five modalities with scene-centered joint modeling.

Zhiping Yu, Chenyang Liu, Jinqi Cao et al.

CogOmniControl integrates CogVLM and CogOmniDiT for intent-driven video generation, outperforming existing models.

Hongji Yang, Songlian Li, Yucheng Zhou et al.

StitchVM efficiently transfers pretrained pixel reward models into noisy latent space, boosting speed and robustness.

Hyojun Go, Hyungjin Chung, Prune Truong et al.

VASA surpasses SAM3 Agent by 14-25% in open ad-hoc segmentation.

Zilin Wang, Stella X. Yu