EPiC generates high-precision anchor videos via masking, eliminating the need for point cloud or pose estimation, enabling efficient 3D-informed camera control.

Zun Wang, Jaemin Cho, Jialu Li et al.

Introduces ViewSpatial-Bench, a multi-viewpoint spatial localization benchmark, with 46.24% performance gain after fine-tuning.

Dingming Li, Hongxing Li, Zixuan Wang et al.

Proposed Fork-Merge Decoding enhances AV-LLMs' multimodal understanding without additional training.

Chaeyoung Jung, Youngjoon Jang, Jongmin Choi et al.

AVCD reduces hallucinations in audio-visual LLMs via contrastive decoding, improving accuracy on AVHBench dataset.

Chaeyoung Jung, Youngjoon Jang, Joon Son Chung

Introduces ImgEdit dataset with 1.2M high-quality image pairs, trains ImgEdit-E1 model, and proposes ImgEdit-Bench for comprehensive evaluation, outperforming existing models.

Yang Ye, Xianyi He, Zongjian Li et al.

HunyuanVideo-Avatar uses a multimodal diffusion transformer to generate high-fidelity audio-driven animations for multiple characters.

Yi Chen, Sen Liang, Zixiang Zhou et al.

DriveX employs Omni Scene Modeling to learn generalizable scene dynamics, reducing Chamfer distance by 6% over 3s prediction, and excels in multi-task autonomous driving benchmarks.

Chen Shi, Shaoshuai Shi, Kehua Sheng et al.

CreatiDesign integrates multi-conditional diffusion transformer with multimodal attention masks, achieving precise control over heterogeneous design elements.

Hui Zhang, Dexiang Hong, Maoke Yang et al.

This survey reviews 26 state-of-the-art Reasoning Segmentation (RS) models, emphasizing multi-stage reasoning, knowledge integration, and pixel-level mask generation.

Yiqing Shen, Chenjia Li, Fei Xiong et al.

CoT-RVS leverages zero-shot chain-of-thought reasoning with pretrained multimodal models for video segmentation, outperforming previous methods by over 10% in J&F metrics.

Shiu-hong Kao, Yu-Wing Tai, Chi-Keung Tang

TextFlux, a DiT-based multilingual scene text synthesis model, achieves high fidelity without OCR, trained with only 1% data of competing methods.

Yu Xie, Jielei Zhang, Pengyu Chen et al.

FSDrive employs visual spatio-temporal Chain-of-Thought (CoT) to unify future scene prediction and trajectory planning, improving accuracy and safety in autonomous driving.

Shuang Zeng, Xinyuan Chang, Mengwei Xie et al.

OphNet-3D dataset enables dynamic 3D hand-instrument reconstruction in ophthalmic surgery, reducing MPJPE to 2.3mm and improving interaction metrics by 23%.

Ming Hu, Zhengdi Yu, Feilong Tang et al.

Direct3D-S2 uses Spatial Sparse Attention for efficient 3D generation, achieving significant speedups.

Shuang Wu, Youtian Lin, Feihu Zhang et al.

CrossLMM employs dual cross-attention to compress long video sequences, maintaining performance with fewer tokens.

Shilin Yan, Jiaming Han, Joey Tsai et al.

KRIS-Bench employs a cognitive-inspired taxonomy to evaluate models' reasoning, covering 22 tasks across 7 dimensions with a focus on knowledge plausibility.

Yongliang Wu, Zonghui Li, Xinting Hu et al.

Proposes OneDC, a one-step diffusion image codec with semantic distillation, reducing bitrate by 39% and decoding time by 20×.

Naifu Xue, Zhaoyang Jia, Jiahao Li et al.

Using lightweight fine-tuning to probe concept erasure reversibility, revealing existing methods only achieve superficial suppression.

Ping Liu, Chi Zhang

Introduces Visual CounterFact dataset and PvP activation mechanism, achieving 99.3% shift from priors to counterfactuals in color predictions.

Michal Golovanevsky, William Rudman, Michael Lepori et al.

Introduces pixel-space reasoning with curiosity-driven RL, achieving 84% accuracy on V* benchmark with a 7B model, surpassing existing open-source models.

Haozhe Wang, Alex Su, Weiming Ren et al.