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20192026
most citedStyle and Pose Control for Image Synthesis of Humans from a Single Monocular View

44 citations · 108 across the 67 of their papers we have counts for

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cs.CV2026

TokenMatch: 3D Mesh Correspondence Transformer with Curvature-Guided Tokenisation

Adeela Islam, Zorah Lähner, Vittorio Murino +1

While data-driven 3D shape correspondence estimation has recently seen substantial progress, robust matching under partial observations and strong non-isometric deformations remain…

cs.CV2026

DCGrasp: Distance-aware Controllable Grasp Generation

Hiroyasu Akada, Jesús Pérez, Emre Aksan +6

Generating 3D hand-object interactions is essential for applications in robotics, XR, and synthetic data generation, where flexible controllability and strong generalization to div…

cs.CV2026

E-3DPSM: A State Machine for Event-Based Egocentric 3D Human Pose Estimation

Mayur Deshmukh, Hiroyasu Akada, Helge Rhodin +2

Event cameras offer multiple advantages in monocular egocentric 3D human pose estimation from head-mounted devices, such as millisecond temporal resolution, high dynamic range, and…

cs.CV2026

SceMoS: Scene-Aware 3D Human Motion Synthesis by Planning with Geometry-Grounded Tokens

Anindita Ghosh, Vladislav Golyanik, Taku Komura +3

Synthesizing text-driven 3D human motion within realistic scenes requires learning both semantic intent ("walk to the couch") and physical feasibility (e.g., avoiding collisions).…

cs.CV2026

EventNeuS: 3D Mesh Reconstruction from a Single Event Camera

Shreyas Sachan, Viktor Rudnev, Mohamed Elgharib +2

Event cameras offer a considerable alternative to RGB cameras in many scenarios. While there are recent works on event-based novel-view synthesis, dense 3D mesh reconstruction rema…

cs.CV2026

ExposeAnyone: Personalized Audio-to-Expression Diffusion Models Are Robust Zero-Shot Face Forgery Detectors

Kaede Shiohara, Toshihiko Yamasaki, Vladislav Golyanik

Detecting unknown deepfake manipulations remains one of the most challenging problems in face forgery detection. Current state-of-the-art approaches fail to generalize to unseen ma…