Proceedings of the 7th International Symposium on Non-Photorealistic Animation and Rendering
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Welcome to NPAR 2009, the seventh International Symposium on Non-Photorealistic Animation and Rendering. As in 2007, this symposium is co-located with ACM SIGGRAPH, and takes place August 1--2, 2009, in New Orleans, Louisiana, USA. Non-photorealistic animation and rendering (NPAR) refers to techniques for visually communicating ideas and information. Such techniques usually generate imagery which is expressive, rather than photorealistic. The papers presented in this volume showcase new research on both the mechanisms of non-photorealistic animation and rendering techniques as well as principles of visual communication via such artistic animation and rendering. This research area continues to show great promise, as evidenced by the growing use of non-photorealistic techniques in film and games. This year we received 21 paper submissions, each of which was assigned to four members of the program committee. Papers for which one of the program chairs had a conflict were assigned and completely handled by the other program chair. After the end of the reviewing period, the reviewers of each paper discussed the reviews and ultimately came to a consensus on accepting or rejecting the paper. Several papers were accepted conditionally, in which case the authors were given the chance to address some required changes suggested by the reviewers. The outcome of this process is the set of seven papers that are collected in this volume.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it