1 citations · 2 across the 8 of their papers we have counts for
8 papers
Where Does Generative Difficulty Reside? An Empirical Study of Target Representations
Marcel Plocher, Bernhard Schölkopf, Andreas Geiger +1
The target representation defines the distribution an image generator must learn, yet it is often treated as an interchangeable interface. This assumption is particularly questiona…
Echoes of the Prior: A Computational Phenomenology of Forgetting
Gege Gao, Bernhard Schölkopf, Andreas Geiger
Memory is not merely the storage of data; it is the scaffolding of reality. When biological memory fades, the world does not simply turn black; it regresses into an unrecognizable…
Slots, Transitions, Loops: Learning Composable World Models for ARC
Gege Gao, Bernhard Schölkopf, Andreas Geiger
ARC tests in-context rule induction: given a few input-output demonstrations, a model must infer the hidden rule and apply it to a new query. While many approaches express ARC rule…
Is Single-View Mesh Reconstruction Ready for Robotics?
Frederik Nolte, Andreas Geiger, Bernhard Schölkopf +1
This paper evaluates single-view mesh reconstruction models for their potential in enabling instant digital twin creation for real-time planning and dynamics prediction using physi…
Relightable Full-Body Gaussian Codec Avatars
Shaofei Wang, Tomas Simon, Igor Santesteban +15
We propose Relightable Full-Body Gaussian Codec Avatars, a new approach for modeling relightable full-body avatars with fine-grained details including face and hands. The unique ch…
LaRa: Efficient Large-Baseline Radiance Fields
Anpei Chen, Haofei Xu, Stefano Esposito +2
Radiance field methods have achieved photorealistic novel view synthesis and geometry reconstruction. But they are mostly applied in per-scene optimization or small-baseline settin…
3DGS-Avatar: Animatable Avatars via Deformable 3D Gaussian Splatting
Zhiyin Qian, Shaofei Wang, Marko Mihajlovic +2
We introduce an approach that creates animatable human avatars from monocular videos using 3D Gaussian Splatting (3DGS). Existing methods based on neural radiance fields (NeRFs) ac…
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing
Shaofei Wang, Božidar Antić, Andreas Geiger +1
We present IntrinsicAvatar, a novel approach to recovering the intrinsic properties of clothed human avatars including geometry, albedo, material, and environment lighting from onl…